You wish to test the following claim (Ha) at a significance level of a = 0.01. Ho : μ = 82.5 H₂:μ> 82.5 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n = 79 with a mean of M = 84.5 and a standard deviation of SD = 15.9. What is the critical value for this test? (Report answer accurate to three decimal places.) critical value = What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = The test statistic is... O in the critical region O not in the critical region

MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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**Hypothesis Testing Example**

In this example, we aim to test the following claim (\(H_a\)) at a significance level of \(\alpha = 0.01\):

- Null Hypothesis (\(H_0\)): \(\mu = 82.5\)
- Alternative Hypothesis (\(H_a\)): \(\mu > 82.5\)

**Problem Statement:**
You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size \(n = 79\) with a mean of \(M = 84.5\) and a standard deviation of \(SD = 15.9\).

**Tasks:**
1. Determine the critical value for the test.
2. Calculate the test statistic for the sample.
3. Determine if the test statistic falls within the critical region.

**Critical Value Calculation:**
What is the critical value for this test? (Report the answer accurate to three decimal places.)

\[ \text{Critical value} = \]

**Test Statistic Calculation:**
What is the test statistic for this sample? (Report the answer accurate to three decimal places.)

\[ \text{Test statistic} = \]

**Conclusion:**
The test statistic is...

- ( ) in the critical region
- ( ) not in the critical region

By completing these steps, you can determine whether the test statistic falls within the critical region and thus make a decision about the null hypothesis \(H_0\).
Transcribed Image Text:**Hypothesis Testing Example** In this example, we aim to test the following claim (\(H_a\)) at a significance level of \(\alpha = 0.01\): - Null Hypothesis (\(H_0\)): \(\mu = 82.5\) - Alternative Hypothesis (\(H_a\)): \(\mu > 82.5\) **Problem Statement:** You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size \(n = 79\) with a mean of \(M = 84.5\) and a standard deviation of \(SD = 15.9\). **Tasks:** 1. Determine the critical value for the test. 2. Calculate the test statistic for the sample. 3. Determine if the test statistic falls within the critical region. **Critical Value Calculation:** What is the critical value for this test? (Report the answer accurate to three decimal places.) \[ \text{Critical value} = \] **Test Statistic Calculation:** What is the test statistic for this sample? (Report the answer accurate to three decimal places.) \[ \text{Test statistic} = \] **Conclusion:** The test statistic is... - ( ) in the critical region - ( ) not in the critical region By completing these steps, you can determine whether the test statistic falls within the critical region and thus make a decision about the null hypothesis \(H_0\).
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