Answer:
The population mean is not different from 14.5.
Explanation:
The two tailed hypothesis to test whether the population mean is 14.5 or not is:
H₀: The population mean is 14.5, i.e. μ = 14.5.
Hₐ: The population mean is different from 14.5, i.e. μ ≠ 14.5.
The information provided is:
![\bar x=15\\s=2\\\alpha =0.05](https://img.qammunity.org/2021/formulas/mathematics/college/m8cukancso8i9plbezy2v19qt0gtg02k4i.png)
As the population standard deviation is not provided use a t-test for single mean.
The test statistic is:
![t=(\bar x-\mu)/(s/√(n)) =(15-14.5)/(2/√(16))=1](https://img.qammunity.org/2021/formulas/mathematics/college/ruixome255pkqn6mz9s4oxile9e4w1km3w.png)
The test statistic value is 1.
Decision rule:
The critical value of t for α = 0.05 and degrees of freedom, (n - 1) = 15 is:
![t_(0.05/2, 15)=\pm 2.131](https://img.qammunity.org/2021/formulas/mathematics/college/5qmy7gtcfl2t6estpdh97i3wi9nq7s31q4.png)
If the test statistic value lies outside the range (-2.131, 2.131) then the null hypothesis will be rejected.
The test statistic value is 1.
This value lies in the range (-2.131, 2.131).
Thus, the null hypothesis was failed to be rejected at 5% level of significance.
Conclusion:
As the null hypothesis was not rejected it can be concluded that the population mean is not different from 14.5.