The test statistic of z = 0.75 is obtained when testing the claim that p> 0.2. a. Identify the hypothesis test as being two-tailed, left-tailed, or right-tailed. b. Find the P-value. c. Using a significance level of a = 0.05, should we reject Ho or should we fail to reject H, ? Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. .. a. This is a right-tailed test. b. P-value = (Round to three decimal places as needed.)

MATLAB: An Introduction with Applications
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**Text Transcription for Educational Use**

The test statistic of \( z = 0.75 \) is obtained when testing the claim that \( p > 0.2 \).

a. Identify the hypothesis test as being two-tailed, left-tailed, or right-tailed.
b. Find the P-value.
c. Using a significance level of \( \alpha = 0.05 \), should we reject \( H_0 \) or should we fail to reject \( H_0 \)?

- Click here to view page 1 of the standard normal distribution table.
- Click here to view page 2 of the standard normal distribution table.

----
a. This is a **right-tailed** test.

b. P-value = \_\_\_ (Round to three decimal places as needed.)

**Explanation:**

The image includes questions regarding hypothesis testing and uses a test statistic \( z = 0.75 \) to evaluate the claim \( p > 0.2 \). The task involves determining the type of test, calculating the P-value, and making a decision based on the significance level \( \alpha = 0.05 \). Hyperlinks are provided to standard normal distribution tables, which are typically used to find P-values. There are no graphs or diagrams in the image.
Transcribed Image Text:**Text Transcription for Educational Use** The test statistic of \( z = 0.75 \) is obtained when testing the claim that \( p > 0.2 \). a. Identify the hypothesis test as being two-tailed, left-tailed, or right-tailed. b. Find the P-value. c. Using a significance level of \( \alpha = 0.05 \), should we reject \( H_0 \) or should we fail to reject \( H_0 \)? - Click here to view page 1 of the standard normal distribution table. - Click here to view page 2 of the standard normal distribution table. ---- a. This is a **right-tailed** test. b. P-value = \_\_\_ (Round to three decimal places as needed.) **Explanation:** The image includes questions regarding hypothesis testing and uses a test statistic \( z = 0.75 \) to evaluate the claim \( p > 0.2 \). The task involves determining the type of test, calculating the P-value, and making a decision based on the significance level \( \alpha = 0.05 \). Hyperlinks are provided to standard normal distribution tables, which are typically used to find P-values. There are no graphs or diagrams in the image.
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