Answer with explanation:
To test the Significance of the population which is Normally Distributed we will use the following Formula Called Z test
[tex]z=\frac{\Bar X - \mu}{\frac{\sigma}{n}}[/tex]
[tex]\Bar X =31.1\\\\ \sigma=6.3\\\\ \mu=25\\\\n=15\\\\z=\frac{31.1-25}{\frac{6.3}{\sqrt{15}}}\\\\z=\frac{6.1\times\sqrt{15}}{6.3}\\\\z=\frac{6.1 \times 3.88}{6.3}\\\\z=3.756[/tex]
→p(Probability) Value when ,z=3.756 is equal to= 0.99992=0.9999
⇒Significance Level (α)=0.01
We will do Hypothesis testing to check whether population mean is different from 25 at the alpha equals 0.01 level of significance.
→0.9999 > 0.01
→p value > α
With a z value of 3.75, it is only 3.75% chance that ,mean will be different from 25.
So,we conclude that results are not significant.So,at 0.01 level of significance population mean will not be different from 25.