Question

1.) What is the difference between independent and dependent sampling. In the case of population proportions, what statistical test do you run if your samples are dependent?  

2.) Explain, in your own words, how you create a confidence interval or run a hypothesis test for two population means when their respective samples are dependent.  

3.) Explain, in your own words, the difference between the classical approach and p-value approach in running a hypothesis test.

4.) Since there is not an F test on your graphing calculator, how do you find the p-value when doing a hypothesis test?  

Answer 1

ANSWERS:

1)   Two (or more) samples are called independent if the members chosen for one sample do not determine which individuals are chosen for a second sample on the other hand two (or more) samples are called dependent if the members chosen for one sample automatically determine which members are to be included in the second sample.

  In the case of population proportions, if the samples are dependent then McNemar's Z-test will have to use.

4) The F value in the ANOVA test also determines the P value.