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

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### 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.
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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