Null Hypothesis: There is no association between race, body mass index and exerc
ID: 2928022 • Letter: N
Question
Null Hypothesis: There is no association between race, body mass index and exercise in relation to Diabetes.
Alternate Hypothesis: There is an association between race, body mass index and exercise in relation to Diabetes.
Dependent Variable: Diabetes
Independent Variables: Race & BMI / Exercise
RQ: Is there an association between race, body mass index and exercise in relation to diabetes?
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1. What is the best Statistical Test for this Hypothesis?
a. What is the methods required to carry out this analysis?
b. Who are possible study participants?
c. What are possible data gathering methods?
d. Explain the type of statistical analyses selected and why you chose to use that test?
Data: https://drive.google.com/open?id=0B5MozjbK2PIFVHFWZktTaEhVanc
Explanation / Answer
1. In order to test for association between dependent variable (diabetes) and independent variable (Race), perform correlation t test.
2. Check the four assumptions:
Set the hypotheses.
H0:p=0 (there is no association between diabetes and race)
H1:p=/=0 (there is association between diabetes and race)
Set the alpha level.
Compute the test statistic.
t=r/sqrt[(1-r^2)/(n-2)], where, r is correlation coefficient, n is sample size.
Decision: if p value at n-2 df is less than alpha, reject H0.
b. Possible study participants might be people of any race aged between 17 and 65 who are into any kind of exercise.
c. Data gathering is best done by simple random sampling, where, sample size of n participants has an eqaul chance of being selected.
d. The hypothesis test for population correlation coefficient, p is selected as data arecollected in sample of pairs and both dependent and independnet variable are quantitative in nature.
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