Explanation:
To conduct a One-Sample t-test in SPSS to obtain the same output, follow these steps:
Open SPSS and click on "File" and then "Open" to import the dataset with the heights of students.
Click on "Analyze" from the top menu, then "Compare Means", and then "One-Sample T Test".
In the "One-Sample T Test" dialog box, select the variable that contains the heights of the students from the "Test Variable(s)" box and move it to the "Test Variable(s)" box.
In the "Test Value" box, enter 170 as the value to be tested against the mean.
In the "Options" tab, check the box next to "95% Confidence Interval".
Click "Continue" and then click "OK".
The SPSS output will appear in the output viewer, which will include the One-Sample Statistics table and the One-Sample Test table. Check if the output matches the values provided in the original question. If there are any discrepancies, review the data and the steps followed to ensure accuracy.
Edit:
To replicate the analysis in SPSS, you would need to create a dataset that includes the heights of the 50 students in the university. You would need to create one variable for the heights, and each student's height would be entered as a separate value in the variable. Here are the steps to create the dataset:
Open SPSS and select "Type in Data" from the menu.
In the "Variable View" tab, create a new variable called "Height" and set the "Type" to "Numeric".
In the "Data View" tab, enter each student's height in the "Height" column.
For example, the dataset might look like this:
Height
175
168
180
...
173
Once you have entered all of the heights, you can follow the steps I provided earlier to perform the one-sample t-test analysis on the dataset.