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The test statistic of z= 1.79 is obtained when testing the claim that p > 0.9. 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 = 0.10, should we reject H, 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 test. b. P-value= c. Choose the correct conclusion below. (Round to three decimal places as needed.) *** O A. Fail to reject Ho. There is not sufficient evidence to support the claim that p > 0.9. Fail to reject Ho. There is sufficient evidence to support the claim that p > 0.9. O B. O C. Reject Ho. There is sufficient evidence to support the claim that p > 0.9. O D. Reject Ho. There is not sufficient evidence to support the claim that p > 0.9.

The test statistic of z= 1.79 is obtained when testing the claim that p > 0.9. 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 = 0.10, should we reject H, 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 test. b. P-value= c. Choose the correct conclusion below. (Round to three decimal places as needed.) *** O A. Fail to reject Ho. There is not sufficient evidence to support the claim that p > 0.9. Fail to reject Ho. There is sufficient evidence to support the claim that p > 0.9. O B. O C. Reject Ho. There is sufficient evidence to support the claim that p > 0.9. O D. Reject Ho. There is not sufficient evidence to support the claim that p > 0.9.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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**Positive z Scores** This table represents the cumulative area from the left under the standard normal (z) distribution. The cumulative probability is given for positive z-scores, ranging from 0.0 to 3.4. The table facilitates finding the probability associated with a particular z-score in a standard normal distribution. **Explanation of the Table:** - **Top and Side Labels:** - The top row increments by 0.01, representing additional hundredths added to the base z-score from the leftmost column. - The leftmost column lists z-scores in increments of 0.1 from 0.0 to 3.4. - **Body of the Table:** - Each cell contains the cumulative probability up to that z-score. For instance, a z-score of 0.1, with an additional 0.03 (z-score = 0.13), corresponds to a cumulative probability of 0.5517. **Diagram Above the Table:** - **Standard Normal Distribution Curve:** - The diagram at the top shows a bell curve illustrating the standard normal distribution, indicating the symmetry around zero. **Using the Table:** 1. **Locate the Row:** Find the first decimal place on the z score in the leftmost column. 2. **Locate the Column:** Find the second decimal place across the top row. 3. **Find the Intersection:** The intersection gives the cumulative probability from the left up to that z-score. This table is crucial for statistical analyses involving the standard normal distribution, allowing users to determine probabilities associated with z-scores and make informed decisions based on probability and statistical inference.
Transcribed Image Text:**Positive z Scores** This table represents the cumulative area from the left under the standard normal (z) distribution. The cumulative probability is given for positive z-scores, ranging from 0.0 to 3.4. The table facilitates finding the probability associated with a particular z-score in a standard normal distribution. **Explanation of the Table:** - **Top and Side Labels:** - The top row increments by 0.01, representing additional hundredths added to the base z-score from the leftmost column. - The leftmost column lists z-scores in increments of 0.1 from 0.0 to 3.4. - **Body of the Table:** - Each cell contains the cumulative probability up to that z-score. For instance, a z-score of 0.1, with an additional 0.03 (z-score = 0.13), corresponds to a cumulative probability of 0.5517. **Diagram Above the Table:** - **Standard Normal Distribution Curve:** - The diagram at the top shows a bell curve illustrating the standard normal distribution, indicating the symmetry around zero. **Using the Table:** 1. **Locate the Row:** Find the first decimal place on the z score in the leftmost column. 2. **Locate the Column:** Find the second decimal place across the top row. 3. **Find the Intersection:** The intersection gives the cumulative probability from the left up to that z-score. This table is crucial for statistical analyses involving the standard normal distribution, allowing users to determine probabilities associated with z-scores and make informed decisions based on probability and statistical inference.
The test statistic of \( z = 1.79 \) is obtained when testing the claim that \( p > 0.9 \). 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 \( \alpha = 0.10 \), 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. --- **Steps:** **a.** This is a [Dropdown: two-tailed, left-tailed, right-tailed] test. **b.** P-value = [Text box: (Round to three decimal places as needed.)] **c.** Choose the correct conclusion below. - A. Fail to reject \( H_0 \). There is not sufficient evidence to support the claim that \( p > 0.9 \). - B. Fail to reject \( H_0 \). There is sufficient evidence to support the claim that \( p > 0.9 \). - C. Reject \( H_0 \). There is sufficient evidence to support the claim that \( p > 0.9 \). - D. Reject \( H_0 \). There is not sufficient evidence to support the claim that \( p > 0.9 \).
Transcribed Image Text:The test statistic of \( z = 1.79 \) is obtained when testing the claim that \( p > 0.9 \). 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 \( \alpha = 0.10 \), 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. --- **Steps:** **a.** This is a [Dropdown: two-tailed, left-tailed, right-tailed] test. **b.** P-value = [Text box: (Round to three decimal places as needed.)] **c.** Choose the correct conclusion below. - A. Fail to reject \( H_0 \). There is not sufficient evidence to support the claim that \( p > 0.9 \). - B. Fail to reject \( H_0 \). There is sufficient evidence to support the claim that \( p > 0.9 \). - C. Reject \( H_0 \). There is sufficient evidence to support the claim that \( p > 0.9 \). - D. Reject \( H_0 \). There is not sufficient evidence to support the claim that \( p > 0.9 \).
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