Answer:
The calculated value t = 2.18 > 1.753 at 5% level of significance.
we accepted the Alternative hypothesis
Hence the data suggest that the average maximum HP for the experimental engine is significantly different from the maximum horsepower calculated by the engineers.
Explanation:
Step(i):-
Given sample size 'n' =16
Given data the engineers have calculated the maximum horsepower for the engine to be 580HP
Mean of the Population 'μ' = 580HP
Mean of the sample size 'x⁻' =610
The sample standard deviation 'S' = 55HP
Null hypothesis: H₀:There is no significant difference between the average maximum HP for the experimental engine and maximum horsepower calculated by the engineers.
That is H₀: x⁻ = μ
Alternative hypothesis: H₁: x⁻ ≠ μ
Step(ii):-
The test statistic

t = 2.18
The degrees of freedom ν=n-1 =16-1=15
The tabulated value
t₀.₉₅ = 1.753
The calculated value t= 2.18 > 1.753 at 95% of level of significance
The null hypothesis is rejected
we accepted the Alternative hypothesis
Conclusion:-
Hence the data suggest that the average maximum HP for the experimental engine is significantly different from the maximum horsepower calculated by the engineers.