The null and alternative hypothesis would be: Ho: uM = µF Họ:µM = µF Ho:pM = PF H1: HM > µF H1: µM # µF H1:PM > PF Но: рм = PF Ho:µM Hi: рм # pF Hі:рм < pF Hi:рм < pғ µF Ho:PM = PF The test is: left-tailed two-tailed right-tailed Based on a sample of 40 men, 35% owned cats Based on a sample of 60 women, 40% owned cats The test statistic is: (to 2 decimals) The p-value is: (to 2 decimals) Based on this we: Fail to reject the null hypothesis Reject the null hypothesis

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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**Hypothesis Test for the Difference in Two Proportions**

Test the claim that the proportion of men who own cats is smaller than the proportion of women who own cats at the 0.10 significance level.

**The null and alternative hypothesis would be:**

- \( H_0: p_M = p_F \)
- \( H_1: p_M < p_F \)

[Option for selection]

**The test is:**

- [ ] Left-tailed
- [ ] Two-tailed
- [ ] Right-tailed

**Based on a sample of 40 men, 35% owned cats.**

**Based on a sample of 60 women, 40% owned cats.**

**The test statistic is:** [Input box for answer] (to 2 decimals)

**The p-value is:** [Input box for answer] (to 2 decimals)

**Based on this we:**

- [ ] Fail to reject the null hypothesis
- [ ] Reject the null hypothesis
Transcribed Image Text:**Hypothesis Test for the Difference in Two Proportions** Test the claim that the proportion of men who own cats is smaller than the proportion of women who own cats at the 0.10 significance level. **The null and alternative hypothesis would be:** - \( H_0: p_M = p_F \) - \( H_1: p_M < p_F \) [Option for selection] **The test is:** - [ ] Left-tailed - [ ] Two-tailed - [ ] Right-tailed **Based on a sample of 40 men, 35% owned cats.** **Based on a sample of 60 women, 40% owned cats.** **The test statistic is:** [Input box for answer] (to 2 decimals) **The p-value is:** [Input box for answer] (to 2 decimals) **Based on this we:** - [ ] Fail to reject the null hypothesis - [ ] Reject the null hypothesis
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