Test the claim that the proportion of men who own cats is significantly different than 40% at the 0.01 significance level. The null and alternative hypothesis would be: H0:μ=0.4 H0:μ=0.4, H1:μ≠0.4 H1:μ≠0.4, H0:μ=0.4 H0:μ=0.4, H1:μ<0.4 H1:μ<0.4, H0:p=0.4 H0:p=0.4, H1:p≠0.4 H1:p≠0.4 H0:p=0.4 H0:p=0.4, H1:p>0.4 H1:p>0.4, H0:μ=0.4 H0:μ=0.4 H1:μ>0.4 H1:μ>0.4, H0:p=0.4 H0:p=0.4, H1:p<0.4 H1:p<0.4 The test is: right-tailed left-tailed two-tailed Based on a sample of 25 people, 32% owned cats The test statistic is:  (to 2 decimals) The positive critical value is:  (to 2 decimals) Based on this we: Reject the null hypothesis Fail to reject the null hypothesis

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Q: Test the claim that the proportion of people who own cats is significantly different than 40% at the…

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Q: Test the claim that the proportion of men who own cats is smaller than 20% at the .01 significance…

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Q: Test the claim that the proportion of people who own cats is smaller than 20% at the 0.10…

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Q: Test the claim that the proportion of people who own cats is larger than 90% at the 0.01…

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Q: Test the claim that the proportion of people who own cats is significantly different than 40% at the…

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Q: Test the claim that the proportion of men who own cats is larger than 70% at the .025 significance…

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2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.