Final answer:
To test whether there is a difference in volunteer time between freshman and seniors, an independent samples t-test is used. The process involves formulating hypotheses, choosing a significance level, calculating a t-statistic, and comparing it to a critical t-value to decide on the null hypothesis.
Step-by-step explanation:
To determine if there is a difference in the amount of time spent volunteering between freshman and seniors, a statistical hypothesis test can be conducted. The appropriate test for this scenario is an independent samples t-test, which is used to compare the means of two separate groups to see if there is a significant difference between them. This test would be conducted under the assumption that the data follows a normal distribution and has equal variances (or use a version of the test that adjusts for unequal variances).
The steps for conducting this t-test are as follows:
- Formulate the null hypothesis (H0: µ1 = µ2) which states that there is no difference in the mean hours of volunteering between the two groups.
- Formulate the alternative hypothesis (Ha: µ1 ≠ µ2), indicating that there is a difference.
- Choose a significance level (commonly α = 0.05).
- Calculate the t-statistic based on the sample data.
- Determine the critical t-value from the t-distribution table based on the degrees of freedom and the chosen α.
- Compare the calculated t-statistic with the critical t-value to decide whether to reject the null hypothesis.
If the null hypothesis is rejected, it suggests that there is a statistically significant difference in the amount of time spent volunteering between freshman and seniors.