Suppose you have information that the average stress score of students in online universities is 13.15.

Using Minitab, compute a one-sample t-test to find out whether the stress scores reported by your sample are significantly different from those of the population of online students.

Data missing.

To perform a one-sample t-test in Minitab, you need two datasets: one containing the sample data and another containing the population data or a hypothesized value. In this case, the sample data consists of stress scores reported by your sample, and the population data or hypothesized value is the average stress score of online students (13.15 in this case).

Here are the steps to conduct a one-sample t-test in Minitab:

1. Enter your sample data: Input the stress scores reported by your sample into one column in Minitab. Make sure the data is numerical and each observation is in a separate row.

2. Specify the population data or hypothesized value: In Minitab, go to "Stat" > "Basic Statistics" > "1-Sample t". In the dialog box that opens, specify the column containing your sample data in the "Samples" field. Then, in the "Test mean" field, enter the hypothesized value of the average stress score (13.15).

3. Set the options: In the same dialog box, you can set additional options if needed. For example, you can adjust the confidence level or choose to perform a two-sided or one-sided test. Make sure to select the appropriate options based on your analysis requirements.

4. Perform the t-test: After setting the options, click on the "OK" button to perform the one-sample t-test. Minitab will calculate the test statistic (t-value), p-value, and other relevant statistics.

5. Interpret the results: Minitab will display the results of the one-sample t-test in the session window. Look for the p-value associated with the test. If the p-value is less than the significance level (e.g., 0.05), you can conclude that there is significant evidence to reject the null hypothesis that the sample mean is equal to the hypothesized value. Otherwise, if the p-value is greater than the significance level, you fail to reject the null hypothesis.

By following these steps, you should be able to compute a one-sample t-test in Minitab to determine if the stress scores reported by your sample are significantly different from the population of online students.