Assume that the data has a normal distribution and the number of observations is 20. Find the critical value used to test a null hypothesis about the population mean, if the significance level is a-0.05; and Hl:p>3.24
Assume that the data has a normal distribution and the number of observations is 20. Find the critical value used to test a null hypothesis about the population mean, if the significance level is a-0.05; and Hl:p>3.24
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:### Understanding Critical Values in Hypothesis Testing
**Problem Statement:**
Assume that the data has a normal distribution and the number of observations is 20. Find the critical value used to test a null hypothesis about the population mean, if the significance level is \( \alpha = 0.05 \); and \( H_1: \mu > 3.24 \)
**Options:**
A. 1.729
B. 2.086
C. 2.093
D. 1.833
**Explanation:**
To solve this problem, you need to understand the concept of critical values in hypothesis testing. Specifically, we are dealing with a one-tailed test (since \( H_1: \mu > 3.24 \)) at a significance level (\(\alpha\)) of 0.05. Since the sample size (n) is 20, we will likely use a t-distribution to find the critical value.
**Steps to Solve:**
1. **Identify the degrees of freedom (df):**
Degrees of freedom for a t-test is given by \( df = n - 1 \). Here, \( df = 20 - 1 = 19 \).
2. **Determine the critical value for a one-tailed test:**
At a significance level of \( \alpha = 0.05 \) for a one-tailed test, you'd look up the critical value in a t-distribution table for 19 degrees of freedom.
By referring to the t-distribution table or using statistical software:
- A critical value for \( df = 19 \) and \(\alpha = 0.05 \) in a one-tailed test is approximately 1.729.
Therefore, the correct answer is:
**A. 1.729**
This critical value indicates that, for a sample of 20 observations, if the sample mean is greater than this critical value, the null hypothesis \( H_0 \) would be rejected in favor of the alternative hypothesis \( H_1: \mu > 3.24 \).
Use this information to correctly apply the concept of critical values in hypothesis testing scenarios.
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