Consider the hypothesis test below. Ho : P1 - p2 < O H. : P1 – P2 > 0 The following results are for independent samples taken from the two populations. Sample 1 Sample 2 n1 = 100 n2 = 300 P1 0.27 P2 = 0.15 Use pooled estimator of p. a. What is the p-value (to 4 decimals)? Use Table 1 from Appendix B. b. With a = =0.05, what is your hypothesis testing conclusion? - Select your answer-

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### Hypothesis Testing

**Consider the hypothesis test below.**

- Null Hypothesis (\(H_0\)): \( p_1 - p_2 \leq 0 \)
- Alternative Hypothesis (\(H_a\)): \( p_1 - p_2 > 0 \)

The hypothesis test involves the following results from independent samples taken from two populations:

#### Sample Descriptions

**Sample 1:**
- Sample size (\(n_1\)): 100
- Sample proportion (\(\bar{p}_1\)): 0.27

**Sample 2:**
- Sample size (\(n_2\)): 300
- Sample proportion (\(\bar{p}_2\)): 0.15

**Instructions:**
- Use the pooled estimator of \(p\).

**Questions:**

a. What is the p-value (to 4 decimals)? Use Table 1 from Appendix B.

b. With \(\alpha = 0.05\), what is your hypothesis testing conclusion?

[Answer Options in Dropdown]
Transcribed Image Text:### Hypothesis Testing **Consider the hypothesis test below.** - Null Hypothesis (\(H_0\)): \( p_1 - p_2 \leq 0 \) - Alternative Hypothesis (\(H_a\)): \( p_1 - p_2 > 0 \) The hypothesis test involves the following results from independent samples taken from two populations: #### Sample Descriptions **Sample 1:** - Sample size (\(n_1\)): 100 - Sample proportion (\(\bar{p}_1\)): 0.27 **Sample 2:** - Sample size (\(n_2\)): 300 - Sample proportion (\(\bar{p}_2\)): 0.15 **Instructions:** - Use the pooled estimator of \(p\). **Questions:** a. What is the p-value (to 4 decimals)? Use Table 1 from Appendix B. b. With \(\alpha = 0.05\), what is your hypothesis testing conclusion? [Answer Options in Dropdown]
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