Test the hypothesis that o,

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### Testing Hypothesis for Standard Deviations

#### Problem Overview:
Test the hypothesis that σ1 < σ2 at the α = 0.05 level of significance for the given sample data. Assume that the populations are normally distributed. Use the P-value approach.

#### Sample Data:

|                  | Population 1 | Population 2 |
|------------------|--------------|--------------|
| **n**            | 52           | 25           |
| **s**            | 8.3          | 11.9         |

#### Hypothesis Statements:
State the null and alternative hypotheses for this test.
- **H0 (Null Hypothesis)** should be stated using "≥":
    \( H_0: \sigma_1 \geq \sigma_2 \)
- **H1 (Alternative Hypothesis)** should be stated using "<":
    \( H_1: \sigma_1 < \sigma_2 \)

#### P-Value Calculation:
Use technology to find the P-value for this test.

- **The P-value is** [ Empty Box ].
- (Round to three decimal places as needed.)

#### Conclusion:
Make a statement regarding the null hypothesis and draw a conclusion for this test.
1. **Since the P-value is** [ Drop-down Box ] **the α = 0.05 level of significance**,
   - **Option to accept/reject the null hypothesis**: [ Drop-down Box to choose "reject" or "do not reject" ]
2. **Sufficient evidence statement**:
   - "There [ Drop-down Box: "is" or "is not"] sufficient evidence to conclude that the standard deviation of Population 1 is significantly less than the standard deviation of Population 2 at the α = 0.05 level of significance."

---

### Graphs or Diagrams:
The image does not contain any graphs or diagrams. The problem focuses on hypothesis testing for comparing the standard deviations of two populations using the P-value approach, given certain sample data. 

This explanation and format can help students understand and work step-by-step through the process of hypothesis testing for standard deviation comparisons.
Transcribed Image Text:### Testing Hypothesis for Standard Deviations #### Problem Overview: Test the hypothesis that σ1 < σ2 at the α = 0.05 level of significance for the given sample data. Assume that the populations are normally distributed. Use the P-value approach. #### Sample Data: | | Population 1 | Population 2 | |------------------|--------------|--------------| | **n** | 52 | 25 | | **s** | 8.3 | 11.9 | #### Hypothesis Statements: State the null and alternative hypotheses for this test. - **H0 (Null Hypothesis)** should be stated using "≥": \( H_0: \sigma_1 \geq \sigma_2 \) - **H1 (Alternative Hypothesis)** should be stated using "<": \( H_1: \sigma_1 < \sigma_2 \) #### P-Value Calculation: Use technology to find the P-value for this test. - **The P-value is** [ Empty Box ]. - (Round to three decimal places as needed.) #### Conclusion: Make a statement regarding the null hypothesis and draw a conclusion for this test. 1. **Since the P-value is** [ Drop-down Box ] **the α = 0.05 level of significance**, - **Option to accept/reject the null hypothesis**: [ Drop-down Box to choose "reject" or "do not reject" ] 2. **Sufficient evidence statement**: - "There [ Drop-down Box: "is" or "is not"] sufficient evidence to conclude that the standard deviation of Population 1 is significantly less than the standard deviation of Population 2 at the α = 0.05 level of significance." --- ### Graphs or Diagrams: The image does not contain any graphs or diagrams. The problem focuses on hypothesis testing for comparing the standard deviations of two populations using the P-value approach, given certain sample data. This explanation and format can help students understand and work step-by-step through the process of hypothesis testing for standard deviation comparisons.
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