I Two Types of Possible Errors Always Exist When Testing

i. Two types of possible errors always exist when testing hypotheses-a Type I error, in which the
Null hypothesis is rejected when it should not have been rejected, and a Type II error in which the
Null hypothesis is not rejected when it should have been rejected.
ii. A test statistic is a value determined from sample information collected to test the null hypothesis.
iii. If we do not reject the null hypothesis based on sample evidence, we have proven beyond doubt
That the null hypothesis is true.

A) (i) , (ii) , and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii) .
C) (i) and (iii) are correct statements but not (ii) .
D) (i) and (ii) are correct statements but not (iii) .
E) (i) , (ii) , and (iii) are all false statements.