Of these patients, 569,142 were not fully vaccinated. Moreover, of a total of 6,748

Of these patients, 569,142 were not fully vaccinated. Moreover, of a total of 6,748.

Of these patients, 569,142 were not fully vaccinated. Moreover, of a total of 6,748 deaths in this cohort, 6,132 occurred in patients who were not fully vaccinated. In these data, a patient either has COVID-19 or doesn’t have COVID-19, and a patient is either vaccinated, or unvaccinated. Also, the probability of death may not be independent of vaccination status (which can be determined from the data).
a. If I randomly sample two people from the US population who have COVID-19, what is the probability that exactly one of the two is fully vaccinated?
b. What is the probability that one randomly selected person with a COVID-19 infection from the US population will be unvaccinated AND will die?
c. What is the probability that one randomly selected person with a COVID-19 infection from the US population will be unvaccinated OR die?

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Answer all questions asked in the problem.
Use Header Information as follows: Copy and

Answer all questions asked in the problem.
Use Header Information as follows: Copy and paste as appropriate into one file.

[supanova_question]

Answer all questions asked in the problem.
Use Header Information as follows: Copy and

Mathematics Assignment Help Answer all questions asked in the problem.
Use Header Information as follows: Copy and paste as appropriate into one file.

[supanova_question]

Of these patients, 569,142 were not fully vaccinated. Moreover, of a total of 6,748

Of these patients, 569,142 were not fully vaccinated. Moreover, of a total of 6,748 deaths in this cohort, 6,132 occurred in patients who were not fully vaccinated. In these data, a patient either has COVID-19 or doesn’t have COVID-19, and a patient is either vaccinated, or unvaccinated. Also, the probability of death may not be independent of vaccination status (which can be determined from the data).
a. If I randomly sample two people from the US population who have COVID-19, what is the probability that exactly one of the two is fully vaccinated?
b. What is the probability that one randomly selected person with a COVID-19 infection from the US population will be unvaccinated AND will die?
c. What is the probability that one randomly selected person with a COVID-19 infection from the US population will be unvaccinated OR die?

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Of these patients, 569,142 were not fully vaccinated. Moreover, of a total of 6,748

Review Seth’s Post and , explore their tools and techniques, and let them know

Review Seth’s Post and , explore their tools and techniques, and let them know.

Review Seth’s Post and , explore their tools and techniques, and let them know how they will help you.
To study for the final exam I am going over all my notes and homework assignments. As well as going over the textbook to make it easier to find exactly what I am looking for rather than using a general search. I will be emphasizing more on the chapters I have been struggling with. Rewatching the videos as a visual aid will also be a help. I had printed out the examples for most of the homework problems I have struggled with so I can use them as a learning tool. I have scheduled more time to review these since pee wee football season ends this week. I believe having the extra time to study will be a big help.

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Provide a summary of your Module 1 work. Include what you learned and how it applies to the field of

Provide a summary of your Module 1 work. Include what you learned and how it applies to the field of statistics. Also, include your thoughts on the usefulness of the different assignments you completed. Have you used these types of statistics in your past classes? I have uploaded 2 assignments that were completed and the 3rd assignment that’s being worked on for you to complete the summary. Thank you.[supanova_question]

Provide a summary of your Module 1 work. Include what you learned and how it applies to the field of

Mathematics Assignment Help Provide a summary of your Module 1 work. Include what you learned and how it applies to the field of statistics. Also, include your thoughts on the usefulness of the different assignments you completed. Have you used these types of statistics in your past classes? I have uploaded 2 assignments that were completed and the 3rd assignment that’s being worked on for you to complete the summary. Thank you.[supanova_question]

Review Seth’s Post and , explore their tools and techniques, and let them know

Review Seth’s Post and , explore their tools and techniques, and let them know how they will help you.
To study for the final exam I am going over all my notes and homework assignments. As well as going over the textbook to make it easier to find exactly what I am looking for rather than using a general search. I will be emphasizing more on the chapters I have been struggling with. Rewatching the videos as a visual aid will also be a help. I had printed out the examples for most of the homework problems I have struggled with so I can use them as a learning tool. I have scheduled more time to review these since pee wee football season ends this week. I believe having the extra time to study will be a big help.

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Review Seth’s Post and , explore their tools and techniques, and let them know

The variable costs are 32% of sales and the profit is $59,000. When the

The variable costs are 32% of sales and the profit is $59,000. When the.

The variable costs are 32% of sales and the profit is $59,000. When the selling price was reduced by 15%, the sales volume increased by 30%.
a. What was the original sales revenue?
b. What were the original variable costs?
c. What is the new sales revenue?
d. What are the new variable costs?
e. What is the amount of change in net income? Use a negative sign to represent a loss

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The variable costs are 32% of sales and the profit is $59,000. When the

The variable costs are 32% of sales and the profit is $59,000. When the selling price was reduced by 15%, the sales volume increased by 30%.
a. What was the original sales revenue?
b. What were the original variable costs?
c. What is the new sales revenue?
d. What are the new variable costs?
e. What is the amount of change in net income? Use a negative sign to represent a loss

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Mathematics of Data Science (AkA: 9/10/2021)

Mathematics Assignment Help There will be 6 sets of a-s-s-e-s-s-m-e-n-t and each of them will be 5~6 questions long. Please see the questions shown in the screenshot. I will send you all info after being hired, eg PPTs, student access etc. Please send a draft in 12hrs -1 day time, day 2, and day 3 as well. Will need to draft some questions to ask the teacher and revise base on feedback (Send bk ard in 1 day max)
[supanova_question]

Mathematics of Data Science (AkA: 9/10/2021)

There will be 6 sets of a-s-s-e-s-s-m-e-n-t and each of them will be 5~6 questions long. Please see the questions shown in the screenshot. I will send you all info after being hired, eg PPTs, student access etc. Please send a draft in 12hrs -1 day time, day 2, and day 3 as well. Will need to draft some questions to ask the teacher and revise base on feedback (Send bk ard in 1 day max)
[supanova_question]

The variable costs are 32% of sales and the profit is $59,000. When the

The ad campaign was devoted to promoting the new IT-8 large specialty tractor. Four

The ad campaign was devoted to promoting the new IT-8 large specialty tractor. Four.

The ad campaign was devoted to promoting the new IT-8 large specialty tractor. Four sales associates were assigned to sell in different medium to large farms throughout the country for many days. One associate was assigned to the northern part of the country. Another was assigned to the southern part. The other two were assigned to the west and east, respectively. Because of regulations, a sales associate can sell at most one IT-8 tractor per day and only one such tractor per farm, too. A sales associate was successful if he or she sold a tractor during the day. Thus, ITM can sell at most 4 tractors (4 total sales) per day in this country.
Download the file titled Tractor Successes. It contains a scatter plot of the number of successes versus frequency. To compare the results to the Binomial Distribution, complete the following:Explain why this tractor sales scenario can be a binomial experiment.
Using the Tractor Successes scatter plot, construct a frequency distribution for the number of successes.
Compute the mean number of successes. The formula for the mean is as follows: ∑(x⋅f)∑f∑(x⋅f)∑f
The terms x represent the total number of successes (0, 1, 2, 3, 4) and f is the corresponding frequency (number of days where x successes occurred).
Explain what the numerical result means.
From the frequency distribution, construct the corresponding relative frequency distribution.
Explain why the relative frequency distribution table is a probability distribution.
Then, use Excel to create a scatter plot of the probability distribution:
Select the two columns of the probability distribution. Click on INSERT, and then go to the Charts area and select Scatter. Then choose the first Scatter chart (the one without lines connecting).
Using the frequency distribution, what is the tractor sales success average? In part 3, note that the numerator in the formula for the mean is the total number of successes. The total number of trials is the denominator of the formula for the mean multiplied by 4. What does this average mean?
The Binomial Distribution is uniquely determined by n, the number of trials, and p, the probability of “success” on each trial. Using Excel, construct the Binomial Probability Distribution for four trials, n, and probability of success, p, as the tractor sales success average in part 5. Here is an explanation of the BINOM.DIST function in Excel: https://support.office.com/en-ie/article/BINOM-DIST-function-c5ae37b6-f39c-4be2-94c2-509a1480770c?ui=en-USrs=en-IEad=I (Links to an external site.)
For example, In Excel
=BINOM.DIST(7,15,0.7, FALSE)
represents the probability of 7 successes out of 15 (n) trials. The 0.7 is the probability of success, p.
Using the above value of n=4 with probability of success, p, as the tractor sales success average in part 5, what is the probability of at least two successes?
Using the formula for the mean of the Binomial Distribution, what is the mean number of successes in part 6 above?
In Excel, create a scatter plot for the Binomial Distribution. The instructions for creating a scatter plot are in part 4 above.
Use the results above to compare the probability distribution of tractor sales successes and the Binomial Distribution. Compare the means in parts 4 and 6, too.
If the probability distribution of tractor sales successes and the Binomial Distribution differ, explain why that is so.
Do you think the Binomial Distribution is a good model for the tractor sales success scenario? Why or why not?
How can International Tractor Motors use the Binomial Distribution to approximate tractor sales in similar countries?
In what other scenarios can International Tractor Motors use the Binomial Distribution? Explain.
Write a report that adheres to the formatting and APA expectations outlined on the CSU Global Writing Center (Links to an external site.). As with all written assignments at CSU Global, you should have in-text citations and a reference page.
Submit your Excel file in addition to your report.
Requirements:The paper must be written in third person.
Your paper should be four to five pages in length (counting the title page and references page) and cite and integrate at least one credible outside source. The CSU Global Library (Links to an external site.) is a great place to find resources.
Include a title page, introduction, body, conclusion, and a reference page.
The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society, or it might discuss or describe the unique terminology associated with the topic.
The body of your paper should answer the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure the Word document is in paragraph format, not numbered answers like a homework assignment.
The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs. Your conclusion should emanate from (be aligned with) your findings.
Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.
Document formatting, citations, and style should conform to the CSU Global Writing Center (Links to an external site.). A short summary containing guidelines for paper formatting, citations, and references is contained in the New Sample APA Paper (Links to an external site.). In addition, information in the CSU Global Library (Links to an external site.) has many helpful areas (Writing Center, Writing Tips, Template Examples/Papers Essays, and others).
[supanova_question]

Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of

Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of donor’s sex and survival status of the infant. Be sure to answer all four parts to this question (a, b, c, and d), including manual calculation of the chi-square value. (40 Points)
Manually calculate a simple odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, without the inclusion of the variable severity using a 2 x 2 table for sex and survival (10 Points).
Manually calculate the confidence interval associated with that odds ratio using the appropriate formula (10 Points).
Manually compute the Chi Square test statistic for this table (10 Points).
Interpret the results. Include an interpretation of the odds ratio, the confidence interval, and the Chi Square test statistic in your response (10 Points).
Table 2:
Survival Status
Disease SeverityDonor’s SexAliveDeadTotalNoneFemale14115 Male21223MildFemale17118 Male40242ModerateFemale15116 Male33639SevereFemale617 Male161733Total 16231193Using data in table 2, compute the common odds ratio of the association between donor’s sex and the survival status of the infant, after controlling for severity (30 Points).Manually calculate a common odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, after the inclusion of the variable severity using the common odds ratio (10 Points).
Interpret the results. How does the common odds ratio differ from the simple odds ratio computed in part 1? What effect might it have on your decision from part 1 to reject or fail to reject the null hypothesis? (10 Points).
Why is it important to know the effect of severity on the association of gender and survival? (10 Points)

Perform a simple logistic regression using SPSS and the Week 6 Dataset (SPSS document). Answer the following questions based on your SPSS output (30 Points)Are the results of the simple logistic regression similar to or different from the results of the simple odds ratio (10 Points)?
How are they similar or different? Include output from SPSS and an interpretation of the OR and confidence intervals in your response (10 Points).
What can you do using logistic regression to duplicate the results from part 2 of this application (the use of CMH for common odds) (10 Points)?

By Day 7

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The ad campaign was devoted to promoting the new IT-8 large specialty tractor. Four

Mathematics Assignment Help The ad campaign was devoted to promoting the new IT-8 large specialty tractor. Four sales associates were assigned to sell in different medium to large farms throughout the country for many days. One associate was assigned to the northern part of the country. Another was assigned to the southern part. The other two were assigned to the west and east, respectively. Because of regulations, a sales associate can sell at most one IT-8 tractor per day and only one such tractor per farm, too. A sales associate was successful if he or she sold a tractor during the day. Thus, ITM can sell at most 4 tractors (4 total sales) per day in this country.
Download the file titled Tractor Successes. It contains a scatter plot of the number of successes versus frequency. To compare the results to the Binomial Distribution, complete the following:Explain why this tractor sales scenario can be a binomial experiment.
Using the Tractor Successes scatter plot, construct a frequency distribution for the number of successes.
Compute the mean number of successes. The formula for the mean is as follows: ?(x?f)?f?(x?f)?f
The terms x represent the total number of successes (0, 1, 2, 3, 4) and f is the corresponding frequency (number of days where x successes occurred).
Explain what the numerical result means.
From the frequency distribution, construct the corresponding relative frequency distribution.
Explain why the relative frequency distribution table is a probability distribution.
Then, use Excel to create a scatter plot of the probability distribution:
Select the two columns of the probability distribution. Click on INSERT, and then go to the Charts area and select Scatter. Then choose the first Scatter chart (the one without lines connecting).
Using the frequency distribution, what is the tractor sales success average? In part 3, note that the numerator in the formula for the mean is the total number of successes. The total number of trials is the denominator of the formula for the mean multiplied by 4. What does this average mean?
The Binomial Distribution is uniquely determined by n, the number of trials, and p, the probability of “success” on each trial. Using Excel, construct the Binomial Probability Distribution for four trials, n, and probability of success, p, as the tractor sales success average in part 5. Here is an explanation of the BINOM.DIST function in Excel: https://support.office.com/en-ie/article/BINOM-DIST-function-c5ae37b6-f39c-4be2-94c2-509a1480770c?ui=en-USrs=en-IEad=I (Links to an external site.)
For example, In Excel
=BINOM.DIST(7,15,0.7, FALSE)
represents the probability of 7 successes out of 15 (n) trials. The 0.7 is the probability of success, p.
Using the above value of n=4 with probability of success, p, as the tractor sales success average in part 5, what is the probability of at least two successes?
Using the formula for the mean of the Binomial Distribution, what is the mean number of successes in part 6 above?
In Excel, create a scatter plot for the Binomial Distribution. The instructions for creating a scatter plot are in part 4 above.
Use the results above to compare the probability distribution of tractor sales successes and the Binomial Distribution. Compare the means in parts 4 and 6, too.
If the probability distribution of tractor sales successes and the Binomial Distribution differ, explain why that is so.
Do you think the Binomial Distribution is a good model for the tractor sales success scenario? Why or why not?
How can International Tractor Motors use the Binomial Distribution to approximate tractor sales in similar countries?
In what other scenarios can International Tractor Motors use the Binomial Distribution? Explain.
Write a report that adheres to the formatting and APA expectations outlined on the CSU Global Writing Center (Links to an external site.). As with all written assignments at CSU Global, you should have in-text citations and a reference page.
Submit your Excel file in addition to your report.
Requirements:The paper must be written in third person.
Your paper should be four to five pages in length (counting the title page and references page) and cite and integrate at least one credible outside source. The CSU Global Library (Links to an external site.) is a great place to find resources.
Include a title page, introduction, body, conclusion, and a reference page.
The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society, or it might discuss or describe the unique terminology associated with the topic.
The body of your paper should answer the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure the Word document is in paragraph format, not numbered answers like a homework assignment.
The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs. Your conclusion should emanate from (be aligned with) your findings.
Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.
Document formatting, citations, and style should conform to the CSU Global Writing Center (Links to an external site.). A short summary containing guidelines for paper formatting, citations, and references is contained in the New Sample APA Paper (Links to an external site.). In addition, information in the CSU Global Library (Links to an external site.) has many helpful areas (Writing Center, Writing Tips, Template Examples/Papers Essays, and others).
[supanova_question]

Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of

Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of donor’s sex and survival status of the infant. Be sure to answer all four parts to this question (a, b, c, and d), including manual calculation of the chi-square value. (40 Points)
Manually calculate a simple odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, without the inclusion of the variable severity using a 2 x 2 table for sex and survival (10 Points).
Manually calculate the confidence interval associated with that odds ratio using the appropriate formula (10 Points).
Manually compute the Chi Square test statistic for this table (10 Points).
Interpret the results. Include an interpretation of the odds ratio, the confidence interval, and the Chi Square test statistic in your response (10 Points).
Table 2:
Survival Status
Disease SeverityDonor’s SexAliveDeadTotalNoneFemale14115 Male21223MildFemale17118 Male40242ModerateFemale15116 Male33639SevereFemale617 Male161733Total 16231193Using data in table 2, compute the common odds ratio of the association between donor’s sex and the survival status of the infant, after controlling for severity (30 Points).Manually calculate a common odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, after the inclusion of the variable severity using the common odds ratio (10 Points).
Interpret the results. How does the common odds ratio differ from the simple odds ratio computed in part 1? What effect might it have on your decision from part 1 to reject or fail to reject the null hypothesis? (10 Points).
Why is it important to know the effect of severity on the association of gender and survival? (10 Points)

Perform a simple logistic regression using SPSS and the Week 6 Dataset (SPSS document). Answer the following questions based on your SPSS output (30 Points)Are the results of the simple logistic regression similar to or different from the results of the simple odds ratio (10 Points)?
How are they similar or different? Include output from SPSS and an interpretation of the OR and confidence intervals in your response (10 Points).
What can you do using logistic regression to duplicate the results from part 2 of this application (the use of CMH for common odds) (10 Points)?

By Day 7

done
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few seconds ago[supanova_question]

The ad campaign was devoted to promoting the new IT-8 large specialty tractor. Four

Table 1: Survival Status Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of

Table 1: Survival Status Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of.

Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of donor’s sex and survival status of the infant. Be sure to answer all four parts to this question (a, b, c, and d), including manual calculation of the chi-square value. (40 Points)
Manually calculate a simple odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, without the inclusion of the variable severity using a 2 x 2 table for sex and survival (10 Points).
Manually calculate the confidence interval associated with that odds ratio using the appropriate formula (10 Points).
Manually compute the Chi Square test statistic for this table (10 Points).
Interpret the results. Include an interpretation of the odds ratio, the confidence interval, and the Chi Square test statistic in your response (10 Points).
Table 2:
Survival Status
Disease SeverityDonor’s SexAliveDeadTotalNoneFemale14115 Male21223MildFemale17118 Male40242ModerateFemale15116 Male33639SevereFemale617 Male161733Total 16231193Using data in table 2, compute the common odds ratio of the association between donor’s sex and the survival status of the infant, after controlling for severity (30 Points).Manually calculate a common odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, after the inclusion of the variable severity using the common odds ratio (10 Points).
Interpret the results. How does the common odds ratio differ from the simple odds ratio computed in part 1? What effect might it have on your decision from part 1 to reject or fail to reject the null hypothesis? (10 Points).
Why is it important to know the effect of severity on the association of gender and survival? (10 Points)

Perform a simple logistic regression using SPSS and the Week 6 Dataset (SPSS document). Answer the following questions based on your SPSS output (30 Points)Are the results of the simple logistic regression similar to or different from the results of the simple odds ratio (10 Points)?
How are they similar or different? Include output from SPSS and an interpretation of the OR and confidence intervals in your response (10 Points).
What can you do using logistic regression to duplicate the results from part 2 of this application (the use of CMH for common odds) (10 Points)?

By Day 7
Submit your Assignment.
Submission and Grading Information

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5 mins ago[supanova_question]

Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of

Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of donor’s sex and survival status of the infant. Be sure to answer all four parts to this question (a, b, c, and d), including manual calculation of the chi-square value. (40 Points)
Manually calculate a simple odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, without the inclusion of the variable severity using a 2 x 2 table for sex and survival (10 Points).
Manually calculate the confidence interval associated with that odds ratio using the appropriate formula (10 Points).
Manually compute the Chi Square test statistic for this table (10 Points).
Interpret the results. Include an interpretation of the odds ratio, the confidence interval, and the Chi Square test statistic in your response (10 Points).
Table 2:
Survival Status
Disease SeverityDonor’s SexAliveDeadTotalNoneFemale14115 Male21223MildFemale17118 Male40242ModerateFemale15116 Male33639SevereFemale617 Male161733Total 16231193Using data in table 2, compute the common odds ratio of the association between donor’s sex and the survival status of the infant, after controlling for severity (30 Points).Manually calculate a common odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, after the inclusion of the variable severity using the common odds ratio (10 Points).
Interpret the results. How does the common odds ratio differ from the simple odds ratio computed in part 1? What effect might it have on your decision from part 1 to reject or fail to reject the null hypothesis? (10 Points).
Why is it important to know the effect of severity on the association of gender and survival? (10 Points)

Perform a simple logistic regression using SPSS and the Week 6 Dataset (SPSS document). Answer the following questions based on your SPSS output (30 Points)Are the results of the simple logistic regression similar to or different from the results of the simple odds ratio (10 Points)?
How are they similar or different? Include output from SPSS and an interpretation of the OR and confidence intervals in your response (10 Points).
What can you do using logistic regression to duplicate the results from part 2 of this application (the use of CMH for common odds) (10 Points)?

By Day 7
Submit your Assignment.
Submission and Grading Information

done
Seen
few seconds ago[supanova_question]

Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of

Mathematics Assignment Help
Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of donor’s sex and survival status of the infant. Be sure to answer all four parts to this question (a, b, c, and d), including manual calculation of the chi-square value. (40 Points)
Manually calculate a simple odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, without the inclusion of the variable severity using a 2 x 2 table for sex and survival (10 Points).
Manually calculate the confidence interval associated with that odds ratio using the appropriate formula (10 Points).
Manually compute the Chi Square test statistic for this table (10 Points).
Interpret the results. Include an interpretation of the odds ratio, the confidence interval, and the Chi Square test statistic in your response (10 Points).
Table 2:
Survival Status
Disease SeverityDonor’s SexAliveDeadTotalNoneFemale14115 Male21223MildFemale17118 Male40242ModerateFemale15116 Male33639SevereFemale617 Male161733Total 16231193Using data in table 2, compute the common odds ratio of the association between donor’s sex and the survival status of the infant, after controlling for severity (30 Points).Manually calculate a common odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, after the inclusion of the variable severity using the common odds ratio (10 Points).
Interpret the results. How does the common odds ratio differ from the simple odds ratio computed in part 1? What effect might it have on your decision from part 1 to reject or fail to reject the null hypothesis? (10 Points).
Why is it important to know the effect of severity on the association of gender and survival? (10 Points)

Perform a simple logistic regression using SPSS and the Week 6 Dataset (SPSS document). Answer the following questions based on your SPSS output (30 Points)Are the results of the simple logistic regression similar to or different from the results of the simple odds ratio (10 Points)?
How are they similar or different? Include output from SPSS and an interpretation of the OR and confidence intervals in your response (10 Points).
What can you do using logistic regression to duplicate the results from part 2 of this application (the use of CMH for common odds) (10 Points)?

By Day 7
Submit your Assignment.
Submission and Grading Information

done
Seen
few seconds ago[supanova_question]

Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of

Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of donor’s sex and survival status of the infant. Be sure to answer all four parts to this question (a, b, c, and d), including manual calculation of the chi-square value. (40 Points)
Manually calculate a simple odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, without the inclusion of the variable severity using a 2 x 2 table for sex and survival (10 Points).
Manually calculate the confidence interval associated with that odds ratio using the appropriate formula (10 Points).
Manually compute the Chi Square test statistic for this table (10 Points).
Interpret the results. Include an interpretation of the odds ratio, the confidence interval, and the Chi Square test statistic in your response (10 Points).
Table 2:
Survival Status
Disease SeverityDonor’s SexAliveDeadTotalNoneFemale14115 Male21223MildFemale17118 Male40242ModerateFemale15116 Male33639SevereFemale617 Male161733Total 16231193Using data in table 2, compute the common odds ratio of the association between donor’s sex and the survival status of the infant, after controlling for severity (30 Points).Manually calculate a common odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, after the inclusion of the variable severity using the common odds ratio (10 Points).
Interpret the results. How does the common odds ratio differ from the simple odds ratio computed in part 1? What effect might it have on your decision from part 1 to reject or fail to reject the null hypothesis? (10 Points).
Why is it important to know the effect of severity on the association of gender and survival? (10 Points)

Perform a simple logistic regression using SPSS and the Week 6 Dataset (SPSS document). Answer the following questions based on your SPSS output (30 Points)Are the results of the simple logistic regression similar to or different from the results of the simple odds ratio (10 Points)?
How are they similar or different? Include output from SPSS and an interpretation of the OR and confidence intervals in your response (10 Points).
What can you do using logistic regression to duplicate the results from part 2 of this application (the use of CMH for common odds) (10 Points)?

By Day 7
Submit your Assignment.
Submission and Grading Information

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Table 1: Survival Status Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of

Table 1: Survival Status Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of

Table 1: Survival Status Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of.

Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of donor’s sex and survival status of the infant. Be sure to answer all four parts to this question (a, b, c, and d), including manual calculation of the chi-square value. (40 Points)
Manually calculate a simple odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, without the inclusion of the variable severity using a 2 x 2 table for sex and survival (10 Points).
Manually calculate the confidence interval associated with that odds ratio using the appropriate formula (10 Points).
Manually compute the Chi Square test statistic for this table (10 Points).
Interpret the results. Include an interpretation of the odds ratio, the confidence interval, and the Chi Square test statistic in your response (10 Points).
Table 2:
Survival Status
Disease SeverityDonor’s SexAliveDeadTotalNoneFemale14115 Male21223MildFemale17118 Male40242ModerateFemale15116 Male33639SevereFemale617 Male161733Total 16231193Using data in table 2, compute the common odds ratio of the association between donor’s sex and the survival status of the infant, after controlling for severity (30 Points).Manually calculate a common odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, after the inclusion of the variable severity using the common odds ratio (10 Points).
Interpret the results. How does the common odds ratio differ from the simple odds ratio computed in part 1? What effect might it have on your decision from part 1 to reject or fail to reject the null hypothesis? (10 Points).
Why is it important to know the effect of severity on the association of gender and survival? (10 Points)

Perform a simple logistic regression using SPSS and the Week 6 Dataset (SPSS document). Answer the following questions based on your SPSS output (30 Points)Are the results of the simple logistic regression similar to or different from the results of the simple odds ratio (10 Points)?
How are they similar or different? Include output from SPSS and an interpretation of the OR and confidence intervals in your response (10 Points).
What can you do using logistic regression to duplicate the results from part 2 of this application (the use of CMH for common odds) (10 Points)?

By Day 7

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Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of

Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of donor’s sex and survival status of the infant. Be sure to answer all four parts to this question (a, b, c, and d), including manual calculation of the chi-square value. (40 Points)
Manually calculate a simple odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, without the inclusion of the variable severity using a 2 x 2 table for sex and survival (10 Points).
Manually calculate the confidence interval associated with that odds ratio using the appropriate formula (10 Points).
Manually compute the Chi Square test statistic for this table (10 Points).
Interpret the results. Include an interpretation of the odds ratio, the confidence interval, and the Chi Square test statistic in your response (10 Points).
Table 2:
Survival Status
Disease SeverityDonor’s SexAliveDeadTotalNoneFemale14115 Male21223MildFemale17118 Male40242ModerateFemale15116 Male33639SevereFemale617 Male161733Total 16231193Using data in table 2, compute the common odds ratio of the association between donor’s sex and the survival status of the infant, after controlling for severity (30 Points).Manually calculate a common odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, after the inclusion of the variable severity using the common odds ratio (10 Points).
Interpret the results. How does the common odds ratio differ from the simple odds ratio computed in part 1? What effect might it have on your decision from part 1 to reject or fail to reject the null hypothesis? (10 Points).
Why is it important to know the effect of severity on the association of gender and survival? (10 Points)

Perform a simple logistic regression using SPSS and the Week 6 Dataset (SPSS document). Answer the following questions based on your SPSS output (30 Points)Are the results of the simple logistic regression similar to or different from the results of the simple odds ratio (10 Points)?
How are they similar or different? Include output from SPSS and an interpretation of the OR and confidence intervals in your response (10 Points).
What can you do using logistic regression to duplicate the results from part 2 of this application (the use of CMH for common odds) (10 Points)?

By Day 7

done
Seen
few seconds ago[supanova_question]

Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of

Mathematics Assignment Help
Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of donor’s sex and survival status of the infant. Be sure to answer all four parts to this question (a, b, c, and d), including manual calculation of the chi-square value. (40 Points)
Manually calculate a simple odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, without the inclusion of the variable severity using a 2 x 2 table for sex and survival (10 Points).
Manually calculate the confidence interval associated with that odds ratio using the appropriate formula (10 Points).
Manually compute the Chi Square test statistic for this table (10 Points).
Interpret the results. Include an interpretation of the odds ratio, the confidence interval, and the Chi Square test statistic in your response (10 Points).
Table 2:
Survival Status
Disease SeverityDonor’s SexAliveDeadTotalNoneFemale14115 Male21223MildFemale17118 Male40242ModerateFemale15116 Male33639SevereFemale617 Male161733Total 16231193Using data in table 2, compute the common odds ratio of the association between donor’s sex and the survival status of the infant, after controlling for severity (30 Points).Manually calculate a common odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, after the inclusion of the variable severity using the common odds ratio (10 Points).
Interpret the results. How does the common odds ratio differ from the simple odds ratio computed in part 1? What effect might it have on your decision from part 1 to reject or fail to reject the null hypothesis? (10 Points).
Why is it important to know the effect of severity on the association of gender and survival? (10 Points)

Perform a simple logistic regression using SPSS and the Week 6 Dataset (SPSS document). Answer the following questions based on your SPSS output (30 Points)Are the results of the simple logistic regression similar to or different from the results of the simple odds ratio (10 Points)?
How are they similar or different? Include output from SPSS and an interpretation of the OR and confidence intervals in your response (10 Points).
What can you do using logistic regression to duplicate the results from part 2 of this application (the use of CMH for common odds) (10 Points)?

By Day 7
Submit your Assignment.
Submission and Grading Information

done
Seen
9 mins ago[supanova_question]

Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of

Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of donor’s sex and survival status of the infant. Be sure to answer all four parts to this question (a, b, c, and d), including manual calculation of the chi-square value. (40 Points)
Manually calculate a simple odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, without the inclusion of the variable severity using a 2 x 2 table for sex and survival (10 Points).
Manually calculate the confidence interval associated with that odds ratio using the appropriate formula (10 Points).
Manually compute the Chi Square test statistic for this table (10 Points).
Interpret the results. Include an interpretation of the odds ratio, the confidence interval, and the Chi Square test statistic in your response (10 Points).
Table 2:
Survival Status
Disease SeverityDonor’s SexAliveDeadTotalNoneFemale14115 Male21223MildFemale17118 Male40242ModerateFemale15116 Male33639SevereFemale617 Male161733Total 16231193Using data in table 2, compute the common odds ratio of the association between donor’s sex and the survival status of the infant, after controlling for severity (30 Points).Manually calculate a common odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, after the inclusion of the variable severity using the common odds ratio (10 Points).
Interpret the results. How does the common odds ratio differ from the simple odds ratio computed in part 1? What effect might it have on your decision from part 1 to reject or fail to reject the null hypothesis? (10 Points).
Why is it important to know the effect of severity on the association of gender and survival? (10 Points)

Perform a simple logistic regression using SPSS and the Week 6 Dataset (SPSS document). Answer the following questions based on your SPSS output (30 Points)Are the results of the simple logistic regression similar to or different from the results of the simple odds ratio (10 Points)?
How are they similar or different? Include output from SPSS and an interpretation of the OR and confidence intervals in your response (10 Points).
What can you do using logistic regression to duplicate the results from part 2 of this application (the use of CMH for common odds) (10 Points)?

By Day 7
Submit your Assignment.
Submission and Grading Information

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Seen
9 mins ago[supanova_question]

Table 1: Survival Status Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193Compute the simple odds ratio of the association of

The problems are listed on page 2 and 3 of the pdf file. You can

The problems are listed on page 2 and 3 of the pdf file. You can.

The problems are listed on page 2 and 3 of the pdf file. You can do the question on GNU Octave or Matlab. The file name should also be under last name “Pickett”.
Show, comment, argument and elaborate your code with a
great deal of detail. Magic out-of-the-blue commands, calculations or numbers not properly supported, justified, documented or minimally explained in comments
[supanova_question]

State whether or not you think the student wrote the type of word problem requested.

State whether or not you think the student wrote the type of word problem requested. Explain your assessment by stating what the whole number part of the quotient is, what the remainder is, and whether or not the correct answer to the word problem is just the whole number part of the quotient, as required. If you think that the word problem is not correct, explain how to modify it to make it correct.
Johanna has 7 macaroons. She wants to share evenly with Brianna. How many macaroons do they both get?

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State whether or not you think the student wrote the type of word problem requested.

Mathematics Assignment Help State whether or not you think the student wrote the type of word problem requested. Explain your assessment by stating what the whole number part of the quotient is, what the remainder is, and whether or not the correct answer to the word problem is just the whole number part of the quotient, as required. If you think that the word problem is not correct, explain how to modify it to make it correct.
Johanna has 7 macaroons. She wants to share evenly with Brianna. How many macaroons do they both get?

done
Seen
2 mins ago[supanova_question]

The problems are listed on page 2 and 3 of the pdf file. You can

The problems are listed on page 2 and 3 of the pdf file. You can do the question on GNU Octave or Matlab. The file name should also be under last name “Pickett”.
Show, comment, argument and elaborate your code with a
great deal of detail. Magic out-of-the-blue commands, calculations or numbers not properly supported, justified, documented or minimally explained in comments
[supanova_question]

The problems are listed on page 2 and 3 of the pdf file. You can

Due: OCT 9 Please see the file first, make sure you can solve them and

Due: OCT 9 Please see the file first, make sure you can solve them and.

Due: OCT 9
Please see the file first, make sure you can solve them and finish them on time.
I need a B for this work.
I will provide notes and textbook after I confirm you
I will send you a message before I confirm you, please check it.
[supanova_question]

Fibonacci number and the golden ratio

1. Use Google (or another search engine) to find a use of Fibonacci numbers or the Golden Ratio in nature, art, music, architecture, or some other real-world application. Make sure you find an idea that is NOT any of these: flowers, rabbits, plants, buildings.
2. Describe the application that you have found.
3. Clearly explain and summarize the important mathematical ideas in your own words.
4. Include a citation and a link to the source where you learned about it. Use APA format.

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Fibonacci number and the golden ratio

Mathematics Assignment Help 1. Use Google (or another search engine) to find a use of Fibonacci numbers or the Golden Ratio in nature, art, music, architecture, or some other real-world application. Make sure you find an idea that is NOT any of these: flowers, rabbits, plants, buildings.
2. Describe the application that you have found.
3. Clearly explain and summarize the important mathematical ideas in your own words.
4. Include a citation and a link to the source where you learned about it. Use APA format.

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Due: OCT 9
Please see the file first, make sure you can solve them and

Due: OCT 9
Please see the file first, make sure you can solve them and finish them on time.
I need a B for this work.
I will provide notes and textbook after I confirm you
I will send you a message before I confirm you, please check it.
[supanova_question]

Due: OCT 9 Please see the file first, make sure you can solve them and

homework of differential equations, dynamical system

homework of differential equations, dynamical system.

Due: OCT 7
Please see the file first, make sure you can solve them and finish them on time.
I need a B for this work.
I will provide textbook after I confirm you
I will send you a message before I confirm you, please check it.
[supanova_question]

homework of differential equations, dynamical system

Due: OCT 7
Please see the file first, make sure you can solve them and finish them on time.
I need a B for this work.
I will provide textbook after I confirm you
I will send you a message before I confirm you, please check it.
[supanova_question]

homework of differential equations, dynamical system

Mathematics Assignment Help Due: OCT 7
Please see the file first, make sure you can solve them and finish them on time.
I need a B for this work.
I will provide textbook after I confirm you
I will send you a message before I confirm you, please check it.
[supanova_question]

homework of differential equations, dynamical system

Due: OCT 7
Please see the file first, make sure you can solve them and finish them on time.
I need a B for this work.
I will provide textbook after I confirm you
I will send you a message before I confirm you, please check it.
[supanova_question]

homework of differential equations, dynamical system

COVID-19 ALTERNATE ASSIGNMENTClick on Course Resources folder (first folder just below Course Questions)

COVID-19 ALTERNATE ASSIGNMENTClick on Course Resources folder (first folder just below Course Questions).

COVID-19 ALTERNATE ASSIGNMENTClick on Course Resources folder (first folder just below Course Questions)
Open folder Student Success Guide
Go to College of Education Resources
Select Multimedia Resources and click on Educational Impact
Towards the middle of the page click on UoPX-COE Access
In the new page that opened, at the top, click on the Video Library tab
In the Instructional Strategies section, click the Common Core Math Shifts box. It is second from the right mid way down.
Assignment:
Watch
Module 1: The Six Shifts: What are they and what do they mean?
Module 2: What does the ‘Focus’ shift mean?
Module 3: What does ‘Coherence” mean?
Module 4: What does ‘Fluency” mean?
Module 5: What does ‘Deep Understanding’ mean?
Module 6: What does the Application Shift mean?
Module 7: What does Dual Intensity mean?
Write a summary of each of the six math shifts.
Submit your summary via a Word document.
Follow APA formatting.
Submit your assignment
ResourcesCenter for Writing Excellence
Reference and Citation Generator
Grammar and Writing Guides

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COVID-19 ALTERNATE ASSIGNMENTClick on Course Resources folder (first folder just below Course Questions)

COVID-19 ALTERNATE ASSIGNMENTClick on Course Resources folder (first folder just below Course Questions)
Open folder Student Success Guide
Go to College of Education Resources
Select Multimedia Resources and click on Educational Impact
Towards the middle of the page click on UoPX-COE Access
In the new page that opened, at the top, click on the Video Library tab
In the Instructional Strategies section, click the Common Core Math Shifts box. It is second from the right mid way down.
Assignment:
Watch
Module 1: The Six Shifts: What are they and what do they mean?
Module 2: What does the ‘Focus’ shift mean?
Module 3: What does ‘Coherence” mean?
Module 4: What does ‘Fluency” mean?
Module 5: What does ‘Deep Understanding’ mean?
Module 6: What does the Application Shift mean?
Module 7: What does Dual Intensity mean?
Write a summary of each of the six math shifts.
Submit your summary via a Word document.
Follow APA formatting.
Submit your assignment
ResourcesCenter for Writing Excellence
Reference and Citation Generator
Grammar and Writing Guides

done
Seen
2 mins ago[supanova_question]

Make a comment in the first line of your Script and write your name as

Mathematics Assignment Help Make a comment in the first line of your Script and write your name as a comment.Youshould submityour entire code. Do not submit thefinal answers or output tableonly. I will grade your code, not the final result.If you are writing all the questions in one script, separate questions using %% and begin each section with clear all; close all;
1.Create a character array (1×3), and store 3 strings: your first name, last nameand age
2.The following series can be written with a shorthand form of sigma notation (A): 12 12?3 13?4 ? 1?(? 1)?=?1?(? 1)?=10000?=1Write aMatlab code to calculate this arithmetic series.
3.Create these matrices:
A = [243519]
B = [104512951]
a.Use the sizefunction to find the size of Matrix A and B.
b.Use the sizefunction to find the number of rows for matrix A and the number of columns for matrix B and call those variables NColumns and Nrows.
c.Zero the thirdcolumn of Matrix B
d.Multiply Bby A.
4.You work for an engineering design firm that has been contracted to evaluate the concentration of pollutants. A tall chimney releases (??=20 kg/s) of smoke into a steady uniform wind of speed (u=10 m/s). An expression for the decay of the peak pollutant concentrationC(ppm)with distance downwind is given as:?(?,?,?)=??4???????(?2 ?2)?4??Assuming that the diffusion coefficient D to be 0.01 m2/s, and the density of air to be (?=1.225??/?3),4.You work for an engineering design firm that has been contracted to evaluate the concentration of pollutants. A tall chimney releases (??=20 kg/s) of smoke into a steady uniform wind of speed (u=10 m/s). An expression for the decay of the peak pollutant concentrationC(ppm)with distance downwind is given as:?(?,?,?)=??4???????(?2 ?2)?4??Assuming that the diffusion coefficient D to be 0.01 m2/s, and the density of air to be (?=1.225??/?3),
a)Write a code in matlabto calculate the pollutant concentration(C1, C2)at two different locations downwind:
1.(x=1000 m, -5m < y < 5m, z=0 m). Use an interval of 0.2m for y.
2.(x =20000 m, -5m <y<5m, z = 0m).Use an interval of 0.2m for y.
b)Find the maximum pollutant concentration and the mean valuefor C1 and C2,using the built-infunctions.
c)Plot C1 and C2 on onesinglefigure;
a.Use blue dashed line for C1 and red dots for C2.
b.Plot the lines with a line width of 1.5.
c.Label x axis as ‘y(m)‘ and y axis as ‘ C (ppm)’.
d.Add a legend for C1 and C2.
e.Add twotext descriptionson this figure to the maximum points of C1 and C2.on the
5.Image processing
a.Read animage from your computer in Matlab:
b.Fromthe size of your matrix determinethe width and height of your image andif it isRGB or grayscale? (Show me the results as well.)
c.Change your RGB imageto gray scale.
[supanova_question]

Make a comment in the first line of your Script and write your name as

Make a comment in the first line of your Script and write your name as a comment.Youshould submityour entire code. Do not submit thefinal answers or output tableonly. I will grade your code, not the final result.If you are writing all the questions in one script, separate questions using %% and begin each section with clear all; close all;
1.Create a character array (1×3), and store 3 strings: your first name, last nameand age
2.The following series can be written with a shorthand form of sigma notation (A): 12 12?3 13?4 ? 1?(? 1)?=?1?(? 1)?=10000?=1Write aMatlab code to calculate this arithmetic series.
3.Create these matrices:
A = [243519]
B = [104512951]
a.Use the sizefunction to find the size of Matrix A and B.
b.Use the sizefunction to find the number of rows for matrix A and the number of columns for matrix B and call those variables NColumns and Nrows.
c.Zero the thirdcolumn of Matrix B
d.Multiply Bby A.
4.You work for an engineering design firm that has been contracted to evaluate the concentration of pollutants. A tall chimney releases (??=20 kg/s) of smoke into a steady uniform wind of speed (u=10 m/s). An expression for the decay of the peak pollutant concentrationC(ppm)with distance downwind is given as:?(?,?,?)=??4???????(?2 ?2)?4??Assuming that the diffusion coefficient D to be 0.01 m2/s, and the density of air to be (?=1.225??/?3),4.You work for an engineering design firm that has been contracted to evaluate the concentration of pollutants. A tall chimney releases (??=20 kg/s) of smoke into a steady uniform wind of speed (u=10 m/s). An expression for the decay of the peak pollutant concentrationC(ppm)with distance downwind is given as:?(?,?,?)=??4???????(?2 ?2)?4??Assuming that the diffusion coefficient D to be 0.01 m2/s, and the density of air to be (?=1.225??/?3),
a)Write a code in matlabto calculate the pollutant concentration(C1, C2)at two different locations downwind:
1.(x=1000 m, -5m < y < 5m, z=0 m). Use an interval of 0.2m for y.
2.(x =20000 m, -5m <y<5m, z = 0m).Use an interval of 0.2m for y.
b)Find the maximum pollutant concentration and the mean valuefor C1 and C2,using the built-infunctions.
c)Plot C1 and C2 on onesinglefigure;
a.Use blue dashed line for C1 and red dots for C2.
b.Plot the lines with a line width of 1.5.
c.Label x axis as ‘y(m)‘ and y axis as ‘ C (ppm)’.
d.Add a legend for C1 and C2.
e.Add twotext descriptionson this figure to the maximum points of C1 and C2.on the
5.Image processing
a.Read animage from your computer in Matlab:
b.Fromthe size of your matrix determinethe width and height of your image andif it isRGB or grayscale? (Show me the results as well.)
c.Change your RGB imageto gray scale.
[supanova_question]

COVID-19 ALTERNATE ASSIGNMENTClick on Course Resources folder (first folder just below Course Questions)