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. A from scipy.stats import chisquare statistic, pvalue = goodness_of_fit([275,150,75], f_exp=[175,225,100]) print(statistic) print(pvalue) B from scipy.stats import chisquare statistic, pvalue = goodness_of_fit([175,225,100], f_exp=[275,150,75]) print(statistic) print(pvalue) C from scipy.stats import chisquare statistic, pvalue = chisquare([175,225,100], f_exp=[275,150,75]) print(statistic) print(pvalue) D from scipy.stats import chisquare statistic, pvalue = chisquare([275,150,75], f_exp=[175,225,100]) print(statistic) print(pvalue)

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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.

A

from scipy.stats import chisquare
statistic, pvalue = goodness_of_fit([275,150,75], f_exp=[175,225,100])
print(statistic)
print(pvalue)

B

from scipy.stats import chisquare
statistic, pvalue = goodness_of_fit([175,225,100], f_exp=[275,150,75])
print(statistic)
print(pvalue)

C

from scipy.stats import chisquare
statistic, pvalue = chisquare([175,225,100], f_exp=[275,150,75])
print(statistic)
print(pvalue)

D

from scipy.stats import chisquare
statistic, pvalue = chisquare([275,150,75], f_exp=[175,225,100])
print(statistic)
print(pvalue)

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