A researcher wants to know if there is a difference in the drinking habits of males and females. Using this example:

1. What is the null hypothesis (in words)?

2. What is the alternative hypothesis (in words)?

3.Would you use an independent t-test or a related t-test?

4. Explain why you chose the test in question 3?

5. What is the difference between an independent t-test and a related samples t-test?

6. Which of the t-tests in question 3 require fewer participants and why?

7.Interpret this : t(50) = 4.9, p<.05, d=.09

Use this Example to help in answering #7: I report in my research literature that t(30) = 2.93, p<.05, d=.5. I interpret this by saying: My t-test results show a significant difference between the two groups and the effect size is medium. I can say this because p<.05 meaning that the resulting t falls in the critical region or tail and so did not just happen by chance and Cohen's d=.5 which indicates a medium effect size.