Question: Examine whether the following statements are true or false. Explain your answer briefly.
(a) The null hypothesis says that the effect is zero.
(b) The alternative hypothesis says that nothing is going on besides chance variation.
(c) A hypothesis test tells you whether or not you have a useful sample.
(d) A significance level tells you how important the null hypothesis is.
(e) The P-value will tell you at what level of significance you can reject the null hypothesis.
(f) Calculation of P-values is useless for significance tests.
(g) It is always better to use a significance level of 0.01 than a level of 0.05.
(h) If the P-value is 0.45, the null hypothesis looks plausible.