The test statistic of z = 1.06 is obtained when testing the claim that p 0.365. 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 = 0.01, should we reject Ho or should we fail to reject Ho? 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 two-tailed test. h Rvalue-O(Round to three decimal places as needed.)

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The test statistic of \( z = 1.06 \) is obtained when testing the claim that \( p \neq 0.365 \).
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 \( \alpha = 0.01 \), 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 ___________ two-tailed ___________ test.

b. P-value = __________ (Round to three decimal places as needed.)
Transcribed Image Text:The test statistic of \( z = 1.06 \) is obtained when testing the claim that \( p \neq 0.365 \). 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 \( \alpha = 0.01 \), 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 ___________ two-tailed ___________ test. b. P-value = __________ (Round to three decimal places as needed.)
**Standard Normal Distribution Table (Page 1)**

### Negative z Scores

The image displays a section of a standard normal distribution table for negative z-scores. The z-score table shows the cumulative area from the left under the standard normal curve.

#### Graph or Diagram Explanation

- The top right of the table includes a bell curve diagram, representing a normal distribution. The area to the left of the curve corresponds to the cumulative probability for negative z-scores, as shown in the table below.

#### Table Explanation

- **Rows and Columns:**
  - Each row represents a different z-score value, incrementing by 0.1 (e.g., -3.4, -3.3, etc.).
  - Columns represent the second decimal place of the z-score (e.g., .00, .01, .02, etc.).
  
- **Cumulative Probability:**
  - Each cell in the table corresponds to the cumulative probability associated with that specific z-score combination.
  
- **Example Values:**
  - For z = -3.4 and .00 column, the cumulative probability is .0003.
  - For z = -3.0 and .05 column, the cumulative probability is .0013.
  
This table helps find probabilities and understand data distribution characteristics within a standard normal distribution, focusing on negative z-score values.
Transcribed Image Text:**Standard Normal Distribution Table (Page 1)** ### Negative z Scores The image displays a section of a standard normal distribution table for negative z-scores. The z-score table shows the cumulative area from the left under the standard normal curve. #### Graph or Diagram Explanation - The top right of the table includes a bell curve diagram, representing a normal distribution. The area to the left of the curve corresponds to the cumulative probability for negative z-scores, as shown in the table below. #### Table Explanation - **Rows and Columns:** - Each row represents a different z-score value, incrementing by 0.1 (e.g., -3.4, -3.3, etc.). - Columns represent the second decimal place of the z-score (e.g., .00, .01, .02, etc.). - **Cumulative Probability:** - Each cell in the table corresponds to the cumulative probability associated with that specific z-score combination. - **Example Values:** - For z = -3.4 and .00 column, the cumulative probability is .0003. - For z = -3.0 and .05 column, the cumulative probability is .0013. This table helps find probabilities and understand data distribution characteristics within a standard normal distribution, focusing on negative z-score values.
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