The test statistic of z-2.13 is obtained when testing the claim that p <0.15. a. Using a significance level of a= 0.01, find the critical value(s). b. 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. The critical value(s) is/are z (Round to two decimal places as needed. Use a comma to separate answers as needed.)
The test statistic of z-2.13 is obtained when testing the claim that p <0.15. a. Using a significance level of a= 0.01, find the critical value(s). b. 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. The critical value(s) is/are z (Round to two decimal places as needed. Use a comma to separate answers 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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![**Text from Educational Website**
The test statistic of \( z = -2.13 \) is obtained when testing the claim that \( p < 0.15 \).
a. Using a significance level of \( \alpha = 0.01 \), find the critical value(s).
b. 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. The critical value(s) is/are \( z = \) [_______]
(Round to two decimal places as needed. Use a comma to separate answers as needed.)
---
**Graph/Diagram Explanation:**
*Standard Normal Distribution Table (Page 1)*
- Title: **NEGATIVE z Scores**
- There is a small graph illustrating a standard normal distribution curve with negative z-scores highlighted on the left side.
- The table displays cumulative areas (probabilities) from the left for various negative z-scores.
- Each row represents a different z-score, starting from -2.7 and decreasing.
- The columns represent the second decimal point of the z-score from .00 to .09.
For example, the cell corresponding to \( z = -2.1 \) and .03 gives the cumulative probability for \( z = -2.13 \).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F740a4bca-4536-466f-8fb5-22c7f56f9691%2Fd64b8d5e-09f9-49a1-b0e2-b58b34dd1d8b%2Fhd7ogw_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Text from Educational Website**
The test statistic of \( z = -2.13 \) is obtained when testing the claim that \( p < 0.15 \).
a. Using a significance level of \( \alpha = 0.01 \), find the critical value(s).
b. 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. The critical value(s) is/are \( z = \) [_______]
(Round to two decimal places as needed. Use a comma to separate answers as needed.)
---
**Graph/Diagram Explanation:**
*Standard Normal Distribution Table (Page 1)*
- Title: **NEGATIVE z Scores**
- There is a small graph illustrating a standard normal distribution curve with negative z-scores highlighted on the left side.
- The table displays cumulative areas (probabilities) from the left for various negative z-scores.
- Each row represents a different z-score, starting from -2.7 and decreasing.
- The columns represent the second decimal point of the z-score from .00 to .09.
For example, the cell corresponding to \( z = -2.1 \) and .03 gives the cumulative probability for \( z = -2.13 \).
![# Standard Normal Distribution Table (Page 2)
This page provides a standard normal distribution table specifically for positive z-scores. The table shows the cumulative area from the left under the standard normal curve for various z-scores, which helps in finding probabilities in statistics.
## Diagram
At the top of the page, there's a diagram of a standard normal distribution curve. This symmetrical bell-shaped curve is centered at 0, with labels indicating the z-score position to the right of zero. This signifies the distribution of data under the standard normal curve.
## Table Explanation
The table is titled "Standard Normal (z) Distribution: Cumulative Area from the LEFT." It lists z-scores in increments of 0.01, ranging from 0.0 to 0.08 across the columns.
Each row corresponds to a specific z-score value, ranging from 0.0 to 0.8, increasing by increments of 0.1.
### Cumulative Areas:
- **z = 0.0** to **z = 0.09**:
- The table columns from ".00" to ".09" show the cumulative probabilities for z-scores starting from 0.000 to 0.099.
For example, a z-score of 0.05 has a cumulative area of 0.5199, indicating that approximately 51.99% of the data falls to the left of this score.
### Examples:
- **z = 0.1**:
- .00 | 0.5398
- .01 | 0.5438
- .02 | 0.5478
- ...
- .09 | 0.5753
- **z = 0.3**:
- .00 | 0.6179
- .01 | 0.6217
- .02 | 0.6255
- ...
- .09 | 0.6517
This table is a crucial tool in statistics for finding probabilities and is commonly used in hypothesis testing and confidence interval estimation.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F740a4bca-4536-466f-8fb5-22c7f56f9691%2Fd64b8d5e-09f9-49a1-b0e2-b58b34dd1d8b%2Ftj4vmcf_processed.jpeg&w=3840&q=75)
Transcribed Image Text:# Standard Normal Distribution Table (Page 2)
This page provides a standard normal distribution table specifically for positive z-scores. The table shows the cumulative area from the left under the standard normal curve for various z-scores, which helps in finding probabilities in statistics.
## Diagram
At the top of the page, there's a diagram of a standard normal distribution curve. This symmetrical bell-shaped curve is centered at 0, with labels indicating the z-score position to the right of zero. This signifies the distribution of data under the standard normal curve.
## Table Explanation
The table is titled "Standard Normal (z) Distribution: Cumulative Area from the LEFT." It lists z-scores in increments of 0.01, ranging from 0.0 to 0.08 across the columns.
Each row corresponds to a specific z-score value, ranging from 0.0 to 0.8, increasing by increments of 0.1.
### Cumulative Areas:
- **z = 0.0** to **z = 0.09**:
- The table columns from ".00" to ".09" show the cumulative probabilities for z-scores starting from 0.000 to 0.099.
For example, a z-score of 0.05 has a cumulative area of 0.5199, indicating that approximately 51.99% of the data falls to the left of this score.
### Examples:
- **z = 0.1**:
- .00 | 0.5398
- .01 | 0.5438
- .02 | 0.5478
- ...
- .09 | 0.5753
- **z = 0.3**:
- .00 | 0.6179
- .01 | 0.6217
- .02 | 0.6255
- ...
- .09 | 0.6517
This table is a crucial tool in statistics for finding probabilities and is commonly used in hypothesis testing and confidence interval estimation.
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