The previous posted does not define z. Please provide code in Python taken the output below into consideration.

5.12 LAB: One-sample hypothesis test for population proportion - Load the gpa.csv data set. - Find the number of students with a gpa greater than the user input value. - Find the total number of students. - Perform a z-test for the user input expected proportion. - Determine if the hypothesis that the actual proportion is different from the expected proportion should be rejected at the alpha = 0.01 significance level. Ex: When the input is: 0.5 3.0 the ouput is: (1.690999E01,8.657181E01) The two-tailed p-value, 8.657181E01, is greater than than . Thus, insufficient evidence exists to support the hypothesis that the proportion is different from 0.5