10. The table shows the distribution of part-time and full-time college students for a sample of 145 men and women. Use a 0.05 significance level to test the claim of independence between gender and student status (full-time or part-time). See examples we did in class in section 10.2 and use chi- square distribution to find the P-value. Full-time Part-time woman 46 38 man 36 25 State the null and alternative hypotheses. Ho: Ha: Find the P-value: P-value = Make your conclusion:

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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10. The table shows the distribution of part-time and full-time college students for a sample of 145 men
and women. Use a 0.05 significance level to test the claim of independence between gender and
student status (full-time or part-time). See examples we did in class in section 10.2 and use chi-
square distribution to find the P-value.
Full-time
Part-time
woman
46
38
man
36
25
State the null and alternative hypotheses.
Ho:
Ha:
Find the P-value:
P-value =
Make your conclusion:
Transcribed Image Text:10. The table shows the distribution of part-time and full-time college students for a sample of 145 men and women. Use a 0.05 significance level to test the claim of independence between gender and student status (full-time or part-time). See examples we did in class in section 10.2 and use chi- square distribution to find the P-value. Full-time Part-time woman 46 38 man 36 25 State the null and alternative hypotheses. Ho: Ha: Find the P-value: P-value = Make your conclusion:
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