Test the hypothesis that 0₁ #02 at the a= 0.01 level of significance for the given sample data. Assume that the populations are normally distributed. Use the P-value approach. State the null and alternative hypotheses for this test. Ho: H₁: S Population 1 Population 2 19 19 3.1 4.8

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**Hypothesis Testing Using P-Value Approach**

**Objective:**

Test the hypothesis that the population standard deviations \( \sigma_1 \neq \sigma_2 \) at the \( \alpha = 0.01 \) level of significance for the given sample data. Assume that the populations are normally distributed. 

**Data:**

- **Population 1:**
  - Sample size (\( n \)): 19
  - Sample standard deviation (\( s \)): 3.1

- **Population 2:**
  - Sample size (\( n \)): 19
  - Sample standard deviation (\( s \)): 4.8

**Instructions:**

1. **State the Hypotheses:**
   - **Null Hypothesis (\( H_0 \)):** \( \sigma_1 = \sigma_2 \) 
   - **Alternative Hypothesis (\( H_1 \)):** \( \sigma_1 \neq \sigma_2 \) 

2. **Use the P-value Approach:**
   - Calculate the test statistic.
   - Determine the p-value.
   - Compare the p-value to the significance level (\( \alpha = 0.01 \)).
   - Draw conclusions based on the comparison.

**Note:** Ensure data is normally distributed to correctly apply the test.
Transcribed Image Text:**Hypothesis Testing Using P-Value Approach** **Objective:** Test the hypothesis that the population standard deviations \( \sigma_1 \neq \sigma_2 \) at the \( \alpha = 0.01 \) level of significance for the given sample data. Assume that the populations are normally distributed. **Data:** - **Population 1:** - Sample size (\( n \)): 19 - Sample standard deviation (\( s \)): 3.1 - **Population 2:** - Sample size (\( n \)): 19 - Sample standard deviation (\( s \)): 4.8 **Instructions:** 1. **State the Hypotheses:** - **Null Hypothesis (\( H_0 \)):** \( \sigma_1 = \sigma_2 \) - **Alternative Hypothesis (\( H_1 \)):** \( \sigma_1 \neq \sigma_2 \) 2. **Use the P-value Approach:** - Calculate the test statistic. - Determine the p-value. - Compare the p-value to the significance level (\( \alpha = 0.01 \)). - Draw conclusions based on the comparison. **Note:** Ensure data is normally distributed to correctly apply the test.
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