Answer:
The test statistic t = 1.126 < 1.703 of '27' degrees of freedom at 0.05 level of significance.
null hypothesis(H₀ ) is accepted
There is evidence that the average breaking strength is 7.000.
Explanation:
Step 1:-
Given random sample size (n) =28 <30
small sample size n= 28
The sample mean (x⁻) = 7.142
sample standard deviation (S) =0.672
Step 2:-
Null hypothesis :- there is evidence that the average breaking strength is 7.000.
H₀ : μ =7
Alternative hypothesis:-there is evidence that the average breaking strength is 7.000.
H₁ : μ ≠7
The test statistic
![t = (x^(-) -mean)/((S)/(√(n) ) )](https://img.qammunity.org/2021/formulas/mathematics/college/67og7x7gvjy2mmtzevfog1mh4lniw9krvz.png)
Substitute all values and simplification ,
![t = (7.142 -7)/((0.672)/(√(28) ) ) = (0.142 )/(0.1269)](https://img.qammunity.org/2021/formulas/mathematics/college/4gyae4cileq346oh4gdzkjgnuc44ny2wun.png)
t = 1.126
Calculated value is t = 1.126
The degrees of freedom γ = n-1 = 28-1 =27
The tabulated value t= 1.703 at degrees of freedom at 0.05 level of significance.
since calculated t < tabulated value 't' value of 27 degrees of freedom at 0.05 level of significance.
null hypothesis(H₀ ) is accepted
There is evidence that the average breaking strength is 7.000.