You wish to test the following claim (Ha) at a significance level of a = 0.001. Ho: = = 66.6 Ha:µ > 66.6 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n = 75 with mean M = 69.3 and a standard deviation of SD = 5.4. 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 greater than 66.6. O There is not sufficient evidence to warrant rejection of the claim that the population mean is greater than 66.6. O The sample data support the claim that the population mean is greater than 66.6. O There is not sufficient sample evidence to support the claim that the population mean is greater than 66.6.

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### Hypothesis Testing for Population Mean

#### Problem Statement
You wish to test the following claim (\(H_a\)) at a significance level of \(\alpha = 0.001\):

\[
\begin{aligned}
H_0 &: \mu = 66.6 \\
H_a &: \mu > 66.6 \\
\end{aligned}
\]

#### Given Data
You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size \(n = 75\) with:

- Mean (\(M\)) = 69.3
- Standard deviation (\(SD\)) = 5.4

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

\[
\text{test statistic} = \boxed{\hspace{1cm}}
\]

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

\[
\text{p-value} = \boxed{\hspace{1cm}}
\]

#### Analysis
The p-value is...

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

#### Decision Making
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 greater than 66.6.
- \(\circ\) There is not sufficient evidence to warrant rejection of the claim that the population mean is greater than 66.6.
- \(\circ\) The sample data support the claim that the population mean is greater than 66.6.
- \(\circ\) There is not sufficient sample evidence to support the claim that the population mean is greater than 66.6.
Transcribed Image Text:### Hypothesis Testing for Population Mean #### Problem Statement You wish to test the following claim (\(H_a\)) at a significance level of \(\alpha = 0.001\): \[ \begin{aligned} H_0 &: \mu = 66.6 \\ H_a &: \mu > 66.6 \\ \end{aligned} \] #### Given Data You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size \(n = 75\) with: - Mean (\(M\)) = 69.3 - Standard deviation (\(SD\)) = 5.4 #### Finding the Test Statistic What is the test statistic for this sample? (Report answer accurate to three decimal places.) \[ \text{test statistic} = \boxed{\hspace{1cm}} \] #### Finding the p-value What is the p-value for this sample? (Report answer accurate to four decimal places.) \[ \text{p-value} = \boxed{\hspace{1cm}} \] #### Analysis The p-value is... - \(\circ\) less than (or equal to) \(\alpha\) - \(\circ\) greater than \(\alpha\) #### Decision Making 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 greater than 66.6. - \(\circ\) There is not sufficient evidence to warrant rejection of the claim that the population mean is greater than 66.6. - \(\circ\) The sample data support the claim that the population mean is greater than 66.6. - \(\circ\) There is not sufficient sample evidence to support the claim that the population mean is greater than 66.6.
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