Hypothesis Test for the Difference in Two Proportions You wish to test the following claim (Ha) at a significance level of a = 0.02. Ho:P1 = p2 Ha:pi > p2 You obtain 79.5% successes in a sample of size n1 = 541 from the first population. You obtain 74.3% successes in a sample of size n2 = 490 from the second population. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic =

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**Hypothesis Test for the Difference in Two Proportions**

You wish to test the following claim (\(H_a\)) at a significance level of \(\alpha = 0.02\).

\[
H_0: p_1 = p_2 \\
H_a: p_1 > p_2
\]

You obtain 79.5% successes in a sample of size \(n_1 = 541\) from the first population. You obtain 74.3% successes in a sample of size \(n_2 = 490\) from the second population.

**What is the test statistic for this sample?** (Report answer accurate to three decimal places.)  
Test statistic = [ ]

**What is the p-value for this sample?** (Report answer accurate to four decimal places.)  
p-value = [ ]

The p-value is...
- [ ] less than (or equal to) \(\alpha\)
- [ ] greater than \(\alpha\)

This test statistic leads to a decision to...
- [ ] reject the null
- [ ] accept the null
- [ ] fail to reject the null

**As such, the final conclusion is that...**
- [ ] There is sufficient evidence to warrant rejection of the claim that the first population proportion is greater than the second population proportion.
- [ ] There is not sufficient evidence to warrant rejection of the claim that the first population proportion is greater than the second population proportion.
- [ ] The sample data support the claim that the first population proportion is greater than the second population proportion.
- [ ] There is not sufficient sample evidence to support the claim that the first population proportion is greater than the second population proportion.

---

This section outlines a hypothesis test for comparing two population proportions. You assess whether the first population proportion is significantly greater than the second at a specified level of significance.
Transcribed Image Text:**Hypothesis Test for the Difference in Two Proportions** You wish to test the following claim (\(H_a\)) at a significance level of \(\alpha = 0.02\). \[ H_0: p_1 = p_2 \\ H_a: p_1 > p_2 \] You obtain 79.5% successes in a sample of size \(n_1 = 541\) from the first population. You obtain 74.3% successes in a sample of size \(n_2 = 490\) from the second population. **What is the test statistic for this sample?** (Report answer accurate to three decimal places.) Test statistic = [ ] **What is the p-value for this sample?** (Report answer accurate to four decimal places.) p-value = [ ] The p-value is... - [ ] less than (or equal to) \(\alpha\) - [ ] greater than \(\alpha\) This test statistic leads to a decision to... - [ ] reject the null - [ ] accept the null - [ ] fail to reject the null **As such, the final conclusion is that...** - [ ] There is sufficient evidence to warrant rejection of the claim that the first population proportion is greater than the second population proportion. - [ ] There is not sufficient evidence to warrant rejection of the claim that the first population proportion is greater than the second population proportion. - [ ] The sample data support the claim that the first population proportion is greater than the second population proportion. - [ ] There is not sufficient sample evidence to support the claim that the first population proportion is greater than the second population proportion. --- This section outlines a hypothesis test for comparing two population proportions. You assess whether the first population proportion is significantly greater than the second at a specified level of significance.
Expert Solution
Step 1

Hypothesis test :

The null and alternative hypothesis is

Ho : p1 = p2

Ha : p1 > p2

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