What is the P-value for this sample ( report answer accurate to four decimal places.)    p-value=

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What is the P-value for this sample ( report answer accurate to four decimal places.) 

 

p-value= 

### Statistical Hypothesis Testing Overview

#### Hypothesis Test Setup

For this test, we aim to evaluate the following hypotheses at a significance level of \(\alpha = 0.05\):

- Null Hypothesis (\(H_0\)): \(\mu = 66.8\)
- Alternative Hypothesis (\(H_a\)): \(\mu < 66.8\)

#### Sample Information

- Population is assumed to be normally distributed
- Sample Size (\(n\)): 7
- Sample Mean (\(M\)): 62.3
- Sample Standard Deviation (\(SD\)): 6.2

#### Test Statistic Calculation

The test statistic for this sample is calculated as:

- Test Statistic: \(-1.920\) (accurate to three decimal places)

#### p-value Interpretation

The next step is to determine the p-value, which should be recorded to four decimal places.

Under the provided options:

- **p-value is greater than \(\alpha\)**

#### Conclusion

Based on the calculated test statistic and the p-value comparison:

- The result leads to a decision to **not reject the null hypothesis**.

This implies that there is not enough statistical evidence, at the 0.05 significance level, to support the claim that the population mean \(\mu\) is less than 66.8.
Transcribed Image Text:### Statistical Hypothesis Testing Overview #### Hypothesis Test Setup For this test, we aim to evaluate the following hypotheses at a significance level of \(\alpha = 0.05\): - Null Hypothesis (\(H_0\)): \(\mu = 66.8\) - Alternative Hypothesis (\(H_a\)): \(\mu < 66.8\) #### Sample Information - Population is assumed to be normally distributed - Sample Size (\(n\)): 7 - Sample Mean (\(M\)): 62.3 - Sample Standard Deviation (\(SD\)): 6.2 #### Test Statistic Calculation The test statistic for this sample is calculated as: - Test Statistic: \(-1.920\) (accurate to three decimal places) #### p-value Interpretation The next step is to determine the p-value, which should be recorded to four decimal places. Under the provided options: - **p-value is greater than \(\alpha\)** #### Conclusion Based on the calculated test statistic and the p-value comparison: - The result leads to a decision to **not reject the null hypothesis**. This implies that there is not enough statistical evidence, at the 0.05 significance level, to support the claim that the population mean \(\mu\) is less than 66.8.
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