h) Test the claim of u< 15 and use c=.90. Provide a sketch of the Critical Value. Evaluate the Test Statistic and provide the p-value.
h) Test the claim of u< 15 and use c=.90. Provide a sketch of the Critical Value. Evaluate the Test Statistic and provide the p-value.
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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Transcribed Image Text:Use the following data set: 40, 33, 77, 12, 23, 56, 23, 19, 29 (minutes). Assume the data is approximately bell shaped and a sample.

Transcribed Image Text:**Problem: Hypothesis Testing**
**Objective:** Test the claim that \( \mu < 15 \) with a confidence level of \( c = 0.90 \).
**Instructions:**
1. **Sketch the Critical Value:**
- To determine the critical value, identify the appropriate distribution (e.g., Z-distribution or t-distribution). Since the significance level is \( \alpha = 0.10 \) (1 - 0.90), find the critical value corresponding to the lower tail of the distribution.
2. **Evaluate the Test Statistic:**
- Compute the test statistic using the sample data. The formula will depend on the type of data and distribution.
3. **Determine the p-value:**
- Calculate the p-value from the test statistic to understand the probability of observing a sample statistic as extreme as the test statistic, assuming that the null hypothesis is true.
**Explanation:**
- **Test Statistic:** This tells how far the sample statistic is from the hypothesized population parameter in standard error units.
- **Critical Value:** This value separates the region where the null hypothesis is rejected from the region where it is not rejected.
- **p-value:** This probability helps in making the decision. If the p-value is less than or equal to the significance level, reject the null hypothesis.
**Note:** A diagram or graph associated with the distribution curve should illustrate where the critical value and test statistic fall.
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