The test statistic of z 1.11 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 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 right-tailed test. b. P-value = (Round to three decimal places as needed.)
The test statistic of z 1.11 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 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 right-tailed test. b. P-value = (Round to three decimal places as needed.)
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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 to view page 1 of the standard normal distribution table.
- Click [here](#) to view page 2 of the standard normal distribution table.
**Finding the P-value:**
1. Look up the value of the z-statistic on the standard normal distribution table.
2. For a right-tailed test, find the area to the right of the z-value.
3. This area represents the P-value.
**Standard Normal Distribution Table:**
- The standard normal distribution table (also known as the Z-table) lists the cumulative probability of a standard normal distribution up to a given z-score.
- To find the right-tailed p-value, subtract the cumulative probability from 1.
Example:
1. If \( z = 1.11 \), find the cumulative probability corresponding to \( z = 1.11 \) in the Z-table.
2. Subtract this value from 1 to get the P-value.
For detailed steps on how to use the standard normal distribution table, you can refer to the provided links to pages 1 and 2 of the table.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F77118ecc-eadc-491f-9762-2009f6b89d99%2F2fe0559e-43d0-4de3-9461-494cb892b865%2F3r9ba9c.jpeg&w=3840&q=75)
Transcribed Image Text:### Hypothesis Testing in Statistics
#### Example Problem:
A test statistic of \( z = 1.11 \) is obtained when testing the claim that \( p > 0.2 \).
##### a. Identification of Hypothesis Test:
- **Determine if the hypothesis test is two-tailed, left-tailed, or right-tailed.**
- **Answer:** This is a **right-tailed** test.
##### b. Finding the P-value:
- **Calculate the P-value (round to three decimal places if needed).**
- **Answer:** \( \text{P-value} = \_\_\_\_ \)
##### c. Conclusion Based on Significance Level:
- **Using a significance level of \( \alpha = 0.05 \), should we reject \( H_0 \) (null hypothesis) or fail to reject \( H_0 \)?**
**Note:**
- Click [here](#) to view page 1 of the standard normal distribution table.
- Click [here](#) to view page 2 of the standard normal distribution table.
**Finding the P-value:**
1. Look up the value of the z-statistic on the standard normal distribution table.
2. For a right-tailed test, find the area to the right of the z-value.
3. This area represents the P-value.
**Standard Normal Distribution Table:**
- The standard normal distribution table (also known as the Z-table) lists the cumulative probability of a standard normal distribution up to a given z-score.
- To find the right-tailed p-value, subtract the cumulative probability from 1.
Example:
1. If \( z = 1.11 \), find the cumulative probability corresponding to \( z = 1.11 \) in the Z-table.
2. Subtract this value from 1 to get the P-value.
For detailed steps on how to use the standard normal distribution table, you can refer to the provided links to pages 1 and 2 of the table.
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