You wish to test the following claim (H₁) at a significance level of a = 0.05. Ho: μ = 86.1 Ha: 86.1 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n = 402 with mean M = 87.4 and a standard deviation of SD = 6.5. 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... less than (or equal to) a greater than a This test statistic leads to a decision to... reject the null accept the null fail to reject the null As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that the population mean is not equal to 86.1. There is not sufficient evidence to warrant rejection of the claim that the population mean is not equal to 86.1. The sample data support the claim that the population mean is not equal to 86.1. There is not sufficient sample evidence to support the claim that the population mean is not equal to 86.1.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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# Hypothesis Testing Example

You wish to test the following claim (\(H_a\)) at a significance level of \(\alpha = 0.05\):

\[
H_0: \mu = 86.1 \\
H_a: \mu \neq 86.1
\]

You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size \( n = 402 \) with mean \( \overline{M} = 87.4 \) and a standard deviation of \( SD = 6.5 \).

### Calculations

#### Test Statistic
What is the test statistic for this sample? (Report answer accurate to three decimal places.)
\[ \text{test statistic} = \_\_\_\_\_ \]

#### P-value
What is the p-value for this sample? (Report answer accurate to four decimal places.)
\[ \text{p-value} = \_\_\_\_\_ \]

### Decision Rule

The p-value is...
- o less than (or equal to) \(\alpha\)
- o greater than \(\alpha\)

This test statistic leads to a decision to...
- o reject the null
- o accept the null
- o fail to reject the null

### Conclusion

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 86.1.
- o There is not sufficient evidence to warrant rejection of the claim that the population mean is not equal to 86.1.
- o The sample data support the claim that the population mean is not equal to 86.1.
- o There is not sufficient sample evidence to support the claim that the population mean is not equal to 86.1.
Transcribed Image Text:# Hypothesis Testing Example You wish to test the following claim (\(H_a\)) at a significance level of \(\alpha = 0.05\): \[ H_0: \mu = 86.1 \\ H_a: \mu \neq 86.1 \] You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size \( n = 402 \) with mean \( \overline{M} = 87.4 \) and a standard deviation of \( SD = 6.5 \). ### Calculations #### Test Statistic What is the test statistic for this sample? (Report answer accurate to three decimal places.) \[ \text{test statistic} = \_\_\_\_\_ \] #### P-value What is the p-value for this sample? (Report answer accurate to four decimal places.) \[ \text{p-value} = \_\_\_\_\_ \] ### Decision Rule The p-value is... - o less than (or equal to) \(\alpha\) - o greater than \(\alpha\) This test statistic leads to a decision to... - o reject the null - o accept the null - o fail to reject the null ### Conclusion 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 86.1. - o There is not sufficient evidence to warrant rejection of the claim that the population mean is not equal to 86.1. - o The sample data support the claim that the population mean is not equal to 86.1. - o There is not sufficient sample evidence to support the claim that the population mean is not equal to 86.1.
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