Let [tex]\mu[/tex] be the average starting salary ( in dollars).
As per given , we have
[tex]H_0: \mu=42000\\\\ H_a:\mu<42000[/tex]
Since [tex]H_a[/tex] is left-tailed , so our test is a left-tailed test.
WE assume that the starting salary follows normal distribution .
Since population standard deviation is unknown and sample size is small so we use t-test.
Test statistic : [tex]t=\dfrac{\overline{x}-\mu}{\dfrac{s}{\sqrt{n}}}[/tex] , where n= sample size , [tex]\overline{x}[/tex] = sample mean , s = sample standard deviation.
Here , n= 15 , [tex]\overline{x}= 40,800[/tex] , s= 225
Then, [tex]t=\dfrac{40800-42000}{\dfrac{2250}{\sqrt{15}}}\approx-2.07[/tex]
Degree of freedom = n-1=14
The critical t-value for significance level α = 0.01 and degree of freedom 14 is 2.62.
Decision : Since the absolute calculated t-value (2.07) is less than the critical t-value., so we cannot reject the null hypothesis.
Conclusion : We do not have sufficient evidence at 1 % level of significance to support the claim that the average starting salary of the graduates is significantly less that $42,000.