Marla G. answered 10/10/21
Masters Degree in Applied Statistics with 20+ Years of Work Experience
The null hypothesis assumes nothing, usually that translates into NO difference between groups wrt(with respect to) the variable of interest, but in this case, the problem states: Test ... the mean GPA of night students is smaller than 2.2, so, in this case the null hypothesis would be:
Ho; Mean GPA night students is NOT< 2.2( or you could say Mean GPA night students ≥2.2)
The alternative hypothesis is what you hope the data will 'prove', usually that translates into there IS a difference between groups wrt the variable of interest, but for this problem Ha: Mean GPA night students< 2.2 .
Note: this should be the same variable as the one in the null hypothesis.
With an n=60, you can use the standard normal z-test to test this hypothesis. Plug the numbers into the formula to calculate the test, and look up that value in the correct tables to get the p-value associated with that value, which are likely to be found at the back of your textbook.