PLEASE HELP ANSWER THE QUESTIONS BELOW!!! (IF POSSIBLE PLEASE ANSWER ALL THE QUESTIONS)

Application Project #2

In the previous application project, you learned about one source of data related to health (the BRFSS). In this final project, you will access and explore several other sources of public health data. For each data source, you will first answer several questions about the data and then you will create and answer your own research question from these data.

CHAMP: k

• Go to the NC Center for Health Statistics website: http://www.schs.state.nc.us/
• Click on the Statistics and Reports tab at the top of the website.
• You will then see a list of SCHS online publications sorted in different ways. Scan down the links and select the one for CHAMP. You will use the information from this site to answer the following questions.

1. What does CHAMP stand for? (1 pt) >>

Child Health Assessment and Monitoring Program

2. Click on Survey Results (1 pt)
   1. What is the first (oldest) year for which data are available? >> 2005
   2. What is the most recent year for which data are available? >> 2016-2017

3. Now lets examine data from 2011. Select 2011. Before you examine the data, you first need to find out more information about this data source. On the top is a link that says CHAMP Home Page. Click on that link and use the information to answer the following questions. (You also may want to review information on the FAQs link on the left under CHAMP).

1. What is the population that the data from CHAMP are trying to find out about? (1 pt)

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2. How did the CHAMP obtain the participants for their study? Be specific about how they reached the people who would be in their survey and who they talked to in order to obtain information. (2 pts)

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3. Review how the CHAMP was conducted. Write a sentence about whether we can generalize the results of this survey to the desired population (answer [a] above) and why we can or cannot generalize the results. (2 pts)

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4. Suppose we want to find out information about asthma among children in NC. Click on the link for survey results (under CHAMP on the left). Then click on 2011 and click on the Asthma topic. Then click on the link for the first question: Has a doctor ever told you the (CHILD) has asthma? Use the data to answer the following questions:
   1. How many total people responded to the question about asthma in 2011? (1 pt) >>

2. What percent of people in the sample had been told their child had asthma? (1 pt) >>

3. What percent of the sample had female children? What percent of the sample had male children? Hint: You will need to calculate this number from other numbers in the chart. It is not given directly in the chart (unlike the numbers above). Ask yourself: How many females were in the sample? How many total people were in the sample? Then use the numbers to calculate the percent. (2 pts)

Percent of sample that was male = >>

Percent of sample that was female = >>

4. Suppose you now wanted to answer the following research question: Were males or females more likely to have asthma in 2011. In this question, what is the explanatory variable? What is the response variable? Identify whether each is quantitative or categorical (and if so, whether binary or not) (2 pts)?

Explanatory variable: >> Type: >>

Response variable: >> Type: >>

5. To answer this question, use data from the table. What percent of male children in the sample had asthma? What percent of female children in the sample had asthma? (2 pts)

Males >>

Females >>

6. Compute the relative risk of having asthma between these two groups (1 pt) >>

7. Write a sentence summarizing the differences in asthma between these two groups. Make sure to include numeric information (either the percentages or the relative risk) to support your conclusion. (Hint: You may want to use the template from Lab 3). (2 pt) >>

8. Suppose you now wanted to answer the following research question: Were children at public or private schools more likely to have asthma in 2011. In this question, what is the explanatory variable? What is the response variable? Identify whether each is quantitative or categorical (and if so, whether binary or not) (2 pts)?

Explanatory variable: >> Type: >>

Response variable: >> Type: >>

1. To answer this question, use data from the table. What percent of children in public schools had asthma? What percent of children in private schools had asthma? (2 pts)

Public School >>

Private / Home >>

10. Compute the relative risk of having asthma between these two groups (1 pt) >>

11. Write a sentence summarizing the differences in asthma between these two groups. Make sure to include numeric information (either the percentages or the relative risk) to support your conclusion. (Hint: You may want to use the template from Lab 3). (2 pts) >>

50. Based on these results, can we conclude that going to public school causes kids to have asthma? Explain why or not why. (2 pts)

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