A university conducted a survey of its recent graduates. The university wanted to measure the quality of a new Engineering course. A survey was conducted during the first offering of the course to evaluate its overall quality. The results of the survey are shown below:

Needs Improvement: 55%

Meets Expectations: 30%

Excellent: 15%

The university made improvements to the course earlier this year. Then it conducted another survey to evaluate how these improvements worked. A total of 500 students were surveyed. Their results are shown below:

Needs Improvement: 175 students

Meets Expectations: 225 students

Excellent: 100 students

You want to perform a chi-square test for goodness of fit, to see if students' views have changed about the course. Which of the following Python scripts prints the P-value and test statistic for the chi-square test? Select one.

Question 3 options:

from scipy.stats import chisquare

statistic, pvalue = chisquare([275,150,75], f_exp=[175,225,100])

print(statistic)

print(pvalue)

from scipy.stats import chisquare

statistic, pvalue = chisquare([175,225,100], f_exp=[275,150,75])

print(statistic)

print(pvalue)

from scipy.stats import chisquare

statistic, pvalue = goodness_of_fit([175,225,100], f_exp=[275,150,75])

print(statistic)

print(pvalue)

from scipy.stats import chisquare

statistic, pvalue = goodness_of_fit([275,150,75], f_exp=[175,225,100])

print(statistic)

print(pvalue)