There is another question to this that says: The sample difference is about 1% if we complete the hypothesis test we could find 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. There are three choices. Choice 1. 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. Choices. 2. being unemployed causes people to get diabetes at higher rate. Choice 3. 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.

6.36 Diabetes and unemployment: A 2012 Gallup poll surveyed Americans about their employment status and whether or not they have 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. Diabetes No Diabetes Employed Unemployed (b) State appropriate hypotheses to test for independence of incidence of diabetes and employment status. O Ho: Diabetes status and employment status are independent Ha: Diabetes status and employment status are not independent O Ho: Hdiabetes Hemployed Ha: Hdiabetes * Hemployed OH: Diabetes status and employment status are dependent Ha: Diabetes status and employment status are not dependent