You wish to test the following claim (Ha) at a significance level of a = 0.01. H.: µ = 68.6 Ha: u + 68.6 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n = 503 with mean M = 64.9 and a standard deviation of SD = 19.6. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic: What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is... O less than (or equal to) a O greater than a This test statistic leads to a decision to... O reject the null O accept the null O fail to reject the null As such, the final conclusion is that... O There is sufficient evidence to warrant rejection of the claim that the population mean is not equal to 68.6. O There is not sufficient evidence to warrant rejection of the claim that the population mean is not equal to 68.6. O The sample data support the claim that the population mean is not equal to 68.6. O There is not sufficient sample evidence to support the claim that the population mean is not equal to 68.6.

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### Hypothesis Testing Example

You wish to test the following claim (Ha) at a significance level of \(\alpha = 0.01\).

\[ H_0: \mu = 68.6 \]

\[ H_a: \mu \neq 68.6 \]

You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size \( n = 503 \) with mean \( M = 64.9 \) and a standard deviation of \( SD = 19.6 \).

#### Test Statistic Calculation

What is the test statistic for this sample? (Report answer accurate to three decimal places.)

\[ \text{test statistic} = \_\_\_\_ \]

#### p-Value Calculation

What is the p-value for this sample? (Report answer accurate to four decimal places.)

\[ \text{p-value} = \_\_\_\_ \]

#### p-Value Comparison

The p-value is...

- \( \circ \) less than (or equal to) \(\alpha\)
- \( \circ \) greater than \(\alpha\)

#### Decision Rule

This test statistic leads to a decision to...

- \( \circ \) reject the null
- \( \circ \) accept the null
- \( \circ \) fail to reject the null

#### Conclusion

As such, the final conclusion is that...

- \( \circ \) There is sufficient evidence to warrant rejection of the claim that the population mean is not equal to 68.6.
- \( \circ \) There is not sufficient evidence to warrant rejection of the claim that the population mean is not equal to 68.6.
- \( \circ \) The sample data support the claim that the population mean is not equal to 68.6.
- \( \circ \) There is not sufficient sample evidence to support the claim that the population mean is not equal to 68.6.
Transcribed Image Text:### Hypothesis Testing Example You wish to test the following claim (Ha) at a significance level of \(\alpha = 0.01\). \[ H_0: \mu = 68.6 \] \[ H_a: \mu \neq 68.6 \] You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size \( n = 503 \) with mean \( M = 64.9 \) and a standard deviation of \( SD = 19.6 \). #### Test Statistic Calculation What is the test statistic for this sample? (Report answer accurate to three decimal places.) \[ \text{test statistic} = \_\_\_\_ \] #### p-Value Calculation What is the p-value for this sample? (Report answer accurate to four decimal places.) \[ \text{p-value} = \_\_\_\_ \] #### p-Value Comparison The p-value is... - \( \circ \) less than (or equal to) \(\alpha\) - \( \circ \) greater than \(\alpha\) #### Decision Rule This test statistic leads to a decision to... - \( \circ \) reject the null - \( \circ \) accept the null - \( \circ \) fail to reject the null #### Conclusion As such, the final conclusion is that... - \( \circ \) There is sufficient evidence to warrant rejection of the claim that the population mean is not equal to 68.6. - \( \circ \) There is not sufficient evidence to warrant rejection of the claim that the population mean is not equal to 68.6. - \( \circ \) The sample data support the claim that the population mean is not equal to 68.6. - \( \circ \) There is not sufficient sample evidence to support the claim that the population mean is not equal to 68.6.
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