General instructions for using SPSS are presented in Appendix D. Following are detailed instructions for using SPSS to perform the One-Sample t Test for assignments
A teacher is interested in whether their students are generally satisfied with a new assignment and it. The teacher administers a survey that asks students to rate their satisfaction with the assignment on a scale of (very dissatisfied) to 0 (neither dissatisfied nor satisfied) to (very satisfied). The teacher observes the following ratings:
0 −5 4 8 0 5 4 3 −3 5 7 5
3 3 −1 −10 8 7 0 6 −5 5 10 9
The steps below will show you how to perform a one-sample t test to test the hypothesis that student ratings of satisfaction were different from zero.
1. Click the Variable View tab to enter information about the variables.
2. In the first row, enter “rating” (for rating score) in the Name field. Add a descriptive label for the variable (e.g., “Satisfaction with Reading”) in the Label field. Fill in the remaining information about your variable where necessary. Be sure that Type = “Numeric”, Width = “8”, Decimals = “0”, Values = “None”, Missing = “None”, Columns = “8”, Align = “Right”, and Measure = “Scale”.
3. Enter all of the scores from the sample in the “rating” column.
1. Click Analyze on the tool bar, select Compare Means, and click on One-Sample T-Test.
2. Highlight the column label for the set of scores (Satisfaction with Reading) in the left box and click the arrow to move it into the Test Variable(s) box.
3. In the Test Value box at the bottom of the One-Sample t Test window, enter the hypothesized value for the population mean from the null hypothesis. Note: The value is automatically set at zero until you type in a new value. In this example, the null hypothesis is that students are neither satisfied nor dissatisfied with the reading; thus, the value should remain zero.
4. In addition to performing the hypothesis test, the program will compute a confidence interval for the population mean difference. The confidence level is automatically set at 95% but you can select Options and change the percentage.
5. Click OK.
The output shown in the figure below includes a table of sample statistics with the mean, standard deviation, and standard error for the sample mean. A second table shows the results of the hypothesis test, including the values for t, df, and the level of significance (the p value for the test), as well as the mean difference from the hypothesized value of μ and a 95% confidence interval for the mean difference. To obtain a 95% confidence interval for the mean, simply add μ points to the values in the table.
Source: SPSS ®
Try It Yourself
Use the steps above to analyze the scores below:
100 94 98 102 123 92 107 127
104 103 120 117 103 127 125 90
The null hypothesis is that μ points. Notice that your output should report that .
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