Final answer:
The null hypothesis states there is no significant difference between the two groups. The significance level is chosen to determine the threshold for rejecting the null hypothesis. The p-value is interpreted to determine the strength of evidence against the null hypothesis.
Step-by-step explanation:
A. The null hypothesis in this case can be that there is no significant difference between the two groups being tested.
B. The significance level, or alpha, needs to be chosen. A common choice is 0.05 (5%).
C. To perform the hypothesis test, the appropriate statistical test needs to be chosen based on the data and assumptions. Common tests include t-tests and chi-square tests.
D. The p-value is a measure of the strength of evidence against the null hypothesis. A small p-value indicates strong evidence against the null hypothesis.
E. The conclusion is based on the p-value and the significance level. If the p-value is less than the significance level, the null hypothesis is rejected, otherwise it is not rejected.