Answer:
t = [ (x1' - x2' ) - d ] / SE . p < 0.05 suggests means are equal, p > 0.05 suggests means are unequal.
Step-by-step explanation:
Null Hypothesis [H0] : There is no difference between average estimates of two garages, M1 = M2
Alternate Hypothesis [H1] : There is difference between average estimates of two garages, M1 ≠ M2
Hypothesis can be tested by t test
t = [ (x1' - x2' ) - d ] / SE , where :-
x1' & x2' are sample means, SE = sqrt[ (s1^2/n1) + (s2^2 /n2) ] , d is the hypothesized difference between population means, and SE is the standard error ie 0 here
If the p value corresponding to calculated t value is < p value as per significance level (0.05) : We reject null hypothesis & state that M1 ≠ M2
If the p value corresponding to calculated t value > p value as per significance level (0.05) : We accept null hypothesis & state that M1 = M2
