Stat110 homework
STAT 110: Exam #2: Take-home Portion Name: _________________________________ Fall 2018 Points: 20
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For the assignment, we will consider how men with HIV who live in Minnesota contracted their disease. The Minnesota Department of Health provides HIV/AIDS Surveillance Reports each year that provides information about modes of exposure, i.e. how the individual got their disease. The data presented here is for years 2015 – 2017. |
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Source: http://www.health.state.mn.us/divs/idepc/diseases/hiv/stats/2017/index.html |
The following information is provided on Slides #32 - #37 of the 2017 HIV Incidence Report. Slide #36 will be ignored as only 3 Native Americans were diagnosed with HIV during this time period. The various modes of exposure are identified to the right.
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Mode of Exposure Labels
· MSM: Men having sex with other men · Hetrosex: Men having sex with a women · IDU: Intervenous drug use · MSM/IDU: MSM or IDU – exact cause not known |
Download the MNHIV_ModeofExposure dataset from the course website.
1. The MN Department of Health created six pie charts (that were displayed on six different slides). This type of display makes it difficult to make comparisons across Race. Use the data provided to create a 100% stacked column chart in a spreadsheet.
<Delete my SAMPLE and put yours in its place>
Briefly describe the relationship between race and mode of exposure for HIV? Briefly discuss. (3 pts)
2. Obtain the five missing quantities for this analysis, provide a decision, and write a conclusion for the following test.
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All Races vs Mode of Exposure |
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Research Question |
Do differences exist between Races in the Modes of Exposure in getting HIV for men in Minnesota? |
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Testable Hypothesis |
Write the appropriate null and alternative hypothesis for your investigation.
Ho: Race is not associated with Mode of Exposure of HIV for Men in MN HA: Race is associated with Mode of Exposure of HIV for Men in MN |
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Analysis |
Compute the Expected Counts for Heterosex and MSM for African-Born and Hispanic. Also, use the =CHITEST() function in your spreadsheet to obtain the appropriate p-value. (5 pts)
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Decision |
Make the appropirate statistical decision. (2 pts)
Decision: If the p-value < 0.05, then data is said to support the research question. · Data supports research question · Data does not support research question
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Conclusion |
Write a final conclusion that would easily be understood by a public nurse who works at a local free medical clinic. (3 pts)
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3. The mode of exposure for African-Born appears to be substantially different than the other races. Remove African-Born from the table above. Re-compute the expected counts and re-run the chi-square test. (4 pts)
a. Write out a new or modified research question assuming that African-Born is removed from consideration. That is, how does removing African-Born change the research question?
New Research Question:
b. Write a conclusion for your new research question.
4. Next, let us remove Whites from consideration -- the three remaining races are African-American, Asian, and Hispanic. Re-compute the expected counts and re-run the chi-square test. Consider the resulting p-value. What is the practical implication of this p-value? That is, what information should a public nurse who works at a local free medical clinic take away from this test? Discuss. (3 pts)
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