This pre-assessment will make use of the BODY DATA Excel file created in ST3001. Comparing BMI by smoking status You are interested in determining if smokers have a BMI that is greater than nonsmokers.

1. Explain which hypothesis test would be appropriate for this situation (assume population variances are not known and sample variances are not equal).

2. Explain whether this is a left-tailed, right-tailed, or two-tailed test and justify your choice.

PART 1

This part makes use of the following article, available in the Walden Library. This article compares the health profile of African Americans raising their grandchildren solo compared to African American single parents.

References

Whitley, D., & Fuller-Thomson, E. (2017). African-American solo grandparents raising grandchildren: A representative profile of their health status. Journal of Community Health, 42(2), 312–323. https://doi.org/10.1007/s10900-016-0257-8

This part focuses on two tables: Table 1 examines whether different demographics are independent or dependent of parenting status (grandparent vs. parent). The characteristics are gender, age, education level, income category, MSA code, number of children, gender of child, age of child, child’s history of asthma, child received flu shot.

Table 2 examines whether health factors of the caregiver are related to parenting status (grandparent or parent). The indicators are the presence of arthritis, COPD, diabetes, asthma, cancer, heart attack, stroke, angina, and kidney disease, as well as self-rated health status, number of days per month physical health is not good, limitation in activity in the past month, number of days mental health was not good during the past month, presence of depressive disorder, physical exercise in last month, BMI category, and smoking status.

Statistically non-significant relationship

Choose one characteristic listed in Table 1 that does not show a statistically significant relationship with parenting status. Assume an alpha level of 0.05.

1. Write an appropriate null and alternative hypothesis test for this chi squared test.

2. Explain why this relationship NOT is considered statistically significant. Explain how the p value provided supports your reasoning.

3. Write a conclusion statement to clearly explain the results of this hypothesis test.

4. Explain in the context of your hypothesis statement what it would mean to make a type II error.

Statistically significant relationship

Choose one characteristic listed in Table 2 that shows a statistically significant relationship with parenting status. Assume an alpha level of 0.05.

1. Write an appropriate null and alternative hypothesis test for this chi squared test.

2. Explain why this relationship is considered statistically significant. Explain how the p value provided supports your reasoning.

3. Write a conclusion statement to clearly explain the results of this hypothesis test.

4. Explain in the context of your hypothesis statement what it would mean to make a type I error.

PART 2

This part will make use of the body data set created in ST3001. All computations must be done in Excel and provided in the final assessment document.

Be sure to provide an explanation for each of your answers and include supporting evidence from the text and/or Learning Resources.

Comparing BMI by smoking status

You are interested in determining if smokers have an Average BMI that is greater than nonsmokers.

1. Explain which hypothesis test would be appropriate for this situation (assume population variances are not known and sample variances are not equal).

2. Explain if this is a left-tailed, right-tailed or two-tailed test and justify your choice.

3. Complete a hypothesis test in Excel to test your claim. Be sure to include the results from the data analysis tool pack test.

4. Write a conclusion statement that makes use of Excel data to justify which hypothesis is supported and why.

5. State your findings in the context of the research question, “Do smokers have a BMI that is greater than nonsmokers?”

Comparing weight by region of the country

Patients were asked to report the region of the country they lived in. This data is coded as follows:

1=north

2=south

3=east

4=west

You are interested in determining if all four regions of the country have mean weights that are considered equal or if at least one is different.

1. Explain which hypothesis test would be appropriate for this situation.

2. Complete a hypothesis test in Excel to test your claim. Be sure to include the results from the data analysis tool pack test. Hint: Weight data will need to be sorted by region like the process previously used to sort BMI by smoking status.

3. Write a conclusion statement that makes use of Excel data to justify which hypothesis is supported and why.

4. State your findings in the context of the research question, “Do all four regions have equal average weights?”

5. Create an Excel box plot of all 4 four regions side by side (like in STAT3001) and paste it here. Add a chart title and legend. Write a sentence or two on how this graph justifies your answer in question 4. Remember, these charts show the 5-number summary.