The diabetes disease risk database houses data collected to explore individuals’
ID: 3054397 • Letter: T
Question
The diabetes disease risk database houses data collected to explore individuals’ type 2 diabetes risk and risk factors. The researchers collected data from adults between the ages of 25 and 55 in three different Kentucky Counties by mail survey. The survey was mailed to 200 randomly selected addresses listed as valid mailing addresses with the United States Post Office in each county. The researchers who collected these data were interested in the following research hypotheses. H1: The frequency with which respondents are classified as “high risk” versus “low risk” is contingent upon geographic region H2: There is a difference between the average actual risk for young versus older adults. H3: There is a linear relationship between actual type 2 diabetes risk and perceived susceptibility.
Using the code book for the database, identify which variables will serve as the independent and the dependent variables in your statistical tests of the null hypotheses you just wrote. Identify which inferential statistic you need to calculate to assess whether or not you can reject the null hypotheses for each of the null hypotheses listed above Test the assumption of normality in the DV (when appropriate) by constructing a frequency plot.
CODE BOOK:
1. Age Group: Circle your age 1 = 25-44 (young) 2 = 45-55 (older) 2. Actual Risk: Total score from type 2 diabetes risk assessment test. Counts the number of risk factors present for a respondent (scores can range from 0 upward) 3. Perc_suscep (measures perceived susceptibility): On a scale of 1 to 5, where “1” means strongly disagree and “5” means strongly agree, how much do you agree or disagree with the statement “If someone in my family has type 2 diabetes, I am at greater risk for developing it in the future” 1 = strongly disagree 2 = disagree 3 = neither agree nor disagree 4 = agree 5 = strongly agree 4. Region: Circle the county that you live in 1 = Jefferson County 2 = Christian County 3 = Clay County 5. Risk Group: Variable created from risk score 1 = low risk 2 = high risk
Explanation / Answer
H1:
independent variables = Region, circle the county you live in 1,2,3.
dependent variable= risk group= variable created from risk score 1,2
chi-square test of indeence can be used to test whether null hypothesis can be rejected or not
H2:
independent variable= age group 1,2
dependent variable= risk group 1,2
chi-square test of indeence can be used to test whether null hypothesis can be rejected or not
H3:
independent variable- Perc_suscep (measures perceived susceptibility): On a scale of 1 to 5, where “1” means strongly disagree and “5” means strongly agree, how much do you agree or disagree with the statement “If someone in my family has type 2 diabetes, I am at greater risk for developing it in the future” 1 = strongly disagree 2 = disagree 3 = neither agree nor disagree 4 = agree 5 = strongly agree
dependent variable= Actual Risk: Total score from type 2 diabetes risk assessment test. Counts the number of risk factors present for a respondent (scores can range from 0 upward)
chi-square test of indeence can be used to test whether null hypothesis can be rejected or not