Question

Consider the following statements.

(i) If a hypothesis is tested at the 5% significance level with a given data set, then there is a lower chance that the null hypothesis will be rejected than if that same hypothesis is tested at the 1% significance level with the same data set.

(ii) P(Type I Error) + P(Type II Error) = 1.

(iii) If a hypothesis test is performed at the 5% significance level, and if the alternative hypothesis is actually true, then there is a 5% chance that the null hypothesis will not be rejected.

Determine which of the above statements are true (1) or false (2).

So, for example, if you think that the answers, in the above order, are True,False,False, then you would enter '1,2,2' into the answer box below (without the quotes)

Answer 1