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:

(-0.16909988539863083, 0.8657180750703445) The two-tailed p-value, 0.8657180750703445 , is greater than than . Thus, insufficient evidence exists to support the hypothesis that the proportion is different from 0.5