diabetes. The survey results indicate that 1.5% of the 47,774 employed (full or part time) and 2.5% of the 5,855 unemployed 18-29 year olds have diabetes. (a) Create a two-way table presenting the results of this study.
1) Diabetes No Diabetes
Employed
Unemployed
2) State appropriate hypotheses to test for independence of incidence of diabetes and employment status.
H0: ?diabetes=?employed
Ha: ?diabetes ? ?employed
H0: Diabetes status and employment status are dependent Ha: Diabetes status and employment status are not dependent
H0: Diabetes status and employment status are independent Ha: Diabetes status and employment status are not independent
3) The sample difference is about 1%. If we completed the hypothesis test, we would find that the p-value is very small (about 0), meaning the difference is statistically significant. Use this result to explain the difference between statistically significant and practically significant findings.
a) If our data don't provide strong enough evidence to reject the null hypothesis we should just collect more data until we can report the results that we want.
b) Being unemployed causes people to get diabetes at a higher rate.
c) Since the sample sizes are so large and the difference between the two sample proportions is so small, we observe a statistically significant difference which may not be practically significant
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