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We are going to hypothesize that Santa Ana College students have more anxiety before the semester starts and less anxiety after the semester. We are

  • We are going to hypothesize that Santa Ana College students have more anxiety before the semester starts and less anxiety after the semester.
  • We are going to assume that the population means for hours worked in California is equal to 32 hours a week and hypothesize that students at Santa Ana College work less hours than the average in California because they are also students.

  1. Form the null hypothesis and alternative hypothesis in both symbols and words for hours worked by Santa Ana College students. Your alternative hypothesis should focus on how you predict that Santa Ana College students work less than the general adult population of the state. Conduct the one-sample t-test using hours worked.
  2. Interpret the results from the one-sample t-test for hours worked. Be sure to include a discussion of the????????? and the????????l. Should we reject the null hypothesis? If we do or do not reject the null hypothesis, what does this mean for the comparison of Santa Ana College students and how much they work compared to the population of California? Discuss one real world implication of this result.
  3. Form the null hypothesis and alternative hypothesis in both symbols and words for anxiety before the semester and anxiety after the semester. Your alternative hypothesis should focus on how Santa Ana College have less anxiety once the semester is done. Conduct the paired sample t-test using Anxiety before the Semester and Anxiety After the semester.
  4. Interpret the results from the paired-sample t-test for anxiety before and after the semester. Be sure to include a discussion of the?????????tobservedand the?????????tcritical. Should we reject the null hypothesis? If we do or do not reject the null hypothesis, what does this mean for the comparison of anxiety that Santa Ana College students report experiencing before and after the semester? Discuss one real world implication of this result.

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Results ' Descriptive Statistics Descriptive Statistics Work Hours/Week Valid 100 Missing Mean 17.660 Std. Deviation 13.383 Minimum 0.000 Maximum 40.000 One Sample TTest One Sample TTest t Work Hours/Week 13.195 df p 99

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