Chapter 9: Categorical Association: Chi-Square Goodness of Fit Test
Chi-Square Goodness of Fit Test: Test Statistic and p-value
A human resource officer is evaluating the recruitment practices at her company and wants to determine whether applicants have a preference for one of #3# interview methods: a face-to-face meeting, a telephone call, or a video call.
To investigate this matter, a simple random sample of #63# applicants is selected and surveyed about their interview preferences. The table below summarizes the results of the survey:
The human resource officer plans on using a Chi-Square Goodness of Fit Test to determine whether applicants have a preference for any of the interview methods.
What are the proportions predicted by the null hypothesis of the proposed test? Give your answers as a fraction or as a decimal number rounded to #2# decimal places.
To investigate this matter, a simple random sample of #63# applicants is selected and surveyed about their interview preferences. The table below summarizes the results of the survey:
| Interview Method | Face-to-Face | Telephone | Video |
| Observed frequency | #25# | #26# | #12# |
The human resource officer plans on using a Chi-Square Goodness of Fit Test to determine whether applicants have a preference for any of the interview methods.
What are the proportions predicted by the null hypothesis of the proposed test? Give your answers as a fraction or as a decimal number rounded to #2# decimal places.
| Face-to-Face | Telephone | Video | |
| #H_0:# |
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