Ho: P = 0.20 H₂: P = 0.20 A sample of 400 provided a sample proportion p = 0.175. (a) Compute the value of the test statistic. (Round your answer to two decimal places.) (b) What is the p-value? (Round your answer to four decimal places.) p-value = (c) At a = 0.05, what is your conclusion? O Reject Ho. There is insufficient evidence to conclude that p + 0.20. O Do not reject Ho. There is insufficient evidence to conclude that p = 0.20. O Do not reject Ho. There is sufficient evidence to conclude that p = 0.20. O Reject Ho. There is sufficient evidence to conclude that p = 0.20.

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## Hypothesis Testing Example:

In this example, we are performing a hypothesis test for a population proportion.

### Given:
- Null Hypothesis (\( H_0 \)): \( p = 0.20 \)
- Alternative Hypothesis (\( H_a \)): \( p \neq 0.20 \)
- A sample of 400 provided a sample proportion (\( \bar{p} \)) = 0.175.

### Steps:

**(a) Compute the value of the test statistic. (Round your answer to two decimal places.)**

\[ \text{Test Statistic} = \]

**(b) What is the \( p \)-value? (Round your answer to four decimal places.)**

\[ p\text{-value} = \]

**(c) At \( \alpha = 0.05 \), what is your conclusion?**

- \( \circ \) Reject \( H_0 \). There is insufficient evidence to conclude that \( p \neq 0.20 \).
- \( \circ \) Do not reject \( H_0 \). There is insufficient evidence to conclude that \( p \neq 0.20 \).
- \( \circ \) Do not reject \( H_0 \). There is sufficient evidence to conclude that \( p \neq 0.20 \).
- \( \circ \) Reject \( H_0 \). There is sufficient evidence to conclude that \( p \neq 0.20 \).

**(d) What is the rejection rule using the critical value? (Round your answer to two decimal places. If the test is one-tailed, enter NONE for the unused tail.)**

\[ \text{test statistic} \leq \] \hspace{1em} 
\[ \text{test statistic} \geq \]

**What is your conclusion?**

- \( \circ \) Reject \( H_0 \). There is insufficient evidence to conclude that \( p \neq 0.20 \).
- \( \circ \) Do not reject \( H_0 \). There is insufficient evidence to conclude that \( p \neq 0.20 \).
- \( \circ \) Do not reject \( H_0 \). There is sufficient evidence to conclude that \( p \neq 0.20 \).
- \( \circ \) Reject \( H_0 \). There is sufficient evidence to conclude that \( p \neq 0
Transcribed Image Text:## Hypothesis Testing Example: In this example, we are performing a hypothesis test for a population proportion. ### Given: - Null Hypothesis (\( H_0 \)): \( p = 0.20 \) - Alternative Hypothesis (\( H_a \)): \( p \neq 0.20 \) - A sample of 400 provided a sample proportion (\( \bar{p} \)) = 0.175. ### Steps: **(a) Compute the value of the test statistic. (Round your answer to two decimal places.)** \[ \text{Test Statistic} = \] **(b) What is the \( p \)-value? (Round your answer to four decimal places.)** \[ p\text{-value} = \] **(c) At \( \alpha = 0.05 \), what is your conclusion?** - \( \circ \) Reject \( H_0 \). There is insufficient evidence to conclude that \( p \neq 0.20 \). - \( \circ \) Do not reject \( H_0 \). There is insufficient evidence to conclude that \( p \neq 0.20 \). - \( \circ \) Do not reject \( H_0 \). There is sufficient evidence to conclude that \( p \neq 0.20 \). - \( \circ \) Reject \( H_0 \). There is sufficient evidence to conclude that \( p \neq 0.20 \). **(d) What is the rejection rule using the critical value? (Round your answer to two decimal places. If the test is one-tailed, enter NONE for the unused tail.)** \[ \text{test statistic} \leq \] \hspace{1em} \[ \text{test statistic} \geq \] **What is your conclusion?** - \( \circ \) Reject \( H_0 \). There is insufficient evidence to conclude that \( p \neq 0.20 \). - \( \circ \) Do not reject \( H_0 \). There is insufficient evidence to conclude that \( p \neq 0.20 \). - \( \circ \) Do not reject \( H_0 \). There is sufficient evidence to conclude that \( p \neq 0.20 \). - \( \circ \) Reject \( H_0 \). There is sufficient evidence to conclude that \( p \neq 0
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