Suppose we wish to test $H _ { 0 } : \mu = 43$ vs. $H _ { \mathrm { a } } : \mu 43$. What will result if we conclude that the mean is greater than 43 when its true value is really 45 ?
A) a Type II error
B) a Type I error
C) a correct decision
D) none of the above

Question

Suppose we wish to test $H _ { 0 } : \mu = 43$ vs. $H _ { \mathrm { a } } : \mu > 43$. What will result if we conclude that the mean is greater than 43 when its true value is really 45 ?
A) a Type II error
B) a Type I error
C) a correct decision
D) none of the above

Quizplus · Accepted Answer

Concluding that the mean is greater than 43 when its true value is really 45 is a correct decision, as the conclusion matches the reality that the mean is indeed greater than the hypothesized value of 43.

Suppose We Wish to Test H0:μ=43H _ { 0 } : \mu = 43H0​:μ=43

Suppose We Wish to Test $H _ { 0 } : \mu = 43$