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Suppose that a student in this class uses their personalized class data set to test the...

Suppose that a student in this class uses their personalized class data set to test the hypothesis that more than 50% of the people in this class are in Life Sciences, and rejects the null hypothesis at the 2% significance level. Consider the following statements.
(i) If another student in this class tested the same hypothesis with their personalized class data set, using the same significance level, then that student would also reject the null hypothesis.
(ii) The proportion of students in this class who are in Life Sciences is in fact greater than 50%.
(iii) The probability of Type II error is greater than 2%.
(iv) The p-value is greater than .02.
(v) A Type I error might have occurred.

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,True,False then you would enter '1,2,2,1,2' into the answer box below (without the quotes).
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