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A simple random sample of size ne 15 is drawn from a population that is normal distributed. The sample mean is found to be 32
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a) As we are testing here whether the population mean is different from 26, therefore the null and the alternative hypothesis here are given as:

H_0: \mu = 26

H_1: \mu \neq 26

b) The test statistic here is computed as:

t^*= \frac{\bar X - \mu_0}{\frac{s}{\sqrt{n}}} = \frac{32.3 - 26}{\frac{6.3}{\sqrt{15}}} = 3.87

For n - 1 = 14 degrees of freedom, we have the p-value from t distribution tables as:
p = P(t15 > 3.87) = 2*0.0008 = 0.0016

Therefore 0.002 is the required p-value here.

c) As the p-value here is 0.002 < 0.01, which is the level of significance, therefore the test is significant here.

Therefore we Reject H0 here, because p-value is less than the level of significance here.

d) As we rejected the null hypothesis in the above part, we have sufficient evidence here at 1% level of significance, to conclude that the population mean is different from 26 here.  

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