Solution
Hypotheses:
- The population mean is 132. In order to test the claim that the mean is 132, we should check for if the mean is not 132.
- Thus, the Hypotheses are:
![\begin{gathered} H_0:\mu=132 \\ H_1:\mu\ne132 \end{gathered}](https://tex.z-dn.net/?f=%5Cbegin%7Bgathered%7D%20H_0%3A%5Cmu%3D132%20%5C%5C%20H_1%3A%5Cmu%5Cne132%20%5Cend%7Bgathered%7D)
Test statistic:
- The test statistic has to be a t-statistic because the sample size (n) is less than 30.
- The formula for finding the t-statistic is:
![\begin{gathered} t=\frac{\bar{X}-\mu}{\frac{s}{\sqrt{n}}} \\ \\ where, \\ \bar{X}=\text{ Sample mean} \\ \mu=\text{ Population mean} \\ s=\text{ Standard deviation} \\ n=\text{ Sample size} \end{gathered}](https://tex.z-dn.net/?f=%5Cbegin%7Bgathered%7D%20t%3D%5Cfrac%7B%5Cbar%7BX%7D-%5Cmu%7D%7B%5Cfrac%7Bs%7D%7B%5Csqrt%7Bn%7D%7D%7D%20%5C%5C%20%20%5C%5C%20where%2C%20%5C%5C%20%5Cbar%7BX%7D%3D%5Ctext%7B%20Sample%20mean%7D%20%5C%5C%20%5Cmu%3D%5Ctext%7B%20Population%20mean%7D%20%5C%5C%20s%3D%5Ctext%7B%20Standard%20deviation%7D%20%5C%5C%20n%3D%5Ctext%7B%20Sample%20size%7D%20%5Cend%7Bgathered%7D)
- Applying the formula, we have:
![\begin{gathered} t=\frac{137-132}{\frac{14.2}{\sqrt{20}}} \\ \\ t=\frac{5}{3.1752} \\ \\ t\approx1.5747 \end{gathered}](https://tex.z-dn.net/?f=%5Cbegin%7Bgathered%7D%20t%3D%5Cfrac%7B137-132%7D%7B%5Cfrac%7B14.2%7D%7B%5Csqrt%7B20%7D%7D%7D%20%5C%5C%20%20%5C%5C%20t%3D%5Cfrac%7B5%7D%7B3.1752%7D%20%5C%5C%20%20%5C%5C%20t%5Capprox1.5747%20%5Cend%7Bgathered%7D)
Critical value:
- The critical value t-critical, is gotten by reading off the t-distribution table.
- For this, we need the degrees of freedom (df) which is gotten by the formula:
![\begin{gathered} df=n-1 \\ df=20-1=19 \end{gathered}](https://tex.z-dn.net/?f=%5Cbegin%7Bgathered%7D%20df%3Dn-1%20%5C%5C%20df%3D20-1%3D19%20%5Cend%7Bgathered%7D)
- And then we also use the significance level of 0.1 and the fact that it is a two-tailed test to trace out the t-critical. (Note: significance level of 0.1 implies 10% significance level)
- This is done below:
- The critical value is 1.729
P-value:
- To find the p-value, we simply check the table for where the t-statistic falls.
- The t-statistic given is 1.5747. We simply check which values this falls between in the t-distribution table. It falls between 1.328 and 1.729. We can simply choose a value between 0.1 and 0.05 and multiply the result by 2 since it is a two-tailed test.
- However, we can also use a t-distribution calculator, we have:
- Thus, the p-value is 0.13183
Final Conclusion:
- The p-value is 0.13183, and comparing this to the significance level of 0.1, we can see that 0.13183 is outside the rejection region.
- Thus, the result is not significant and we fail to reject the null hypothesis