Are the following statements true or false (a) In

Chapter 8, Problem 8.6.19

(choose chapter or problem)

Are the following statements true or false? (a) In hypothesis testing the null hypothesis can never be proved to be correct. (b) For a given data set a two-sided condence interval for a parameter with a condence level 99% is shorter than a two-sided condence interval for the parameter with a condence level 95%. (c) A statistical proof that a statement is true is achieved when the null hypothesis that the statement is false is rejected. (d) A hypothesis test addresses the question of whether or not there is sufcient evidence to establish that the null hypothesis is false. (e) A p-value between 1% and 10% should be interpreted as implying that there is some evidence that the null hypothesis is false, but that the evidence is not overwhelming. (f) z-intervals are sometimes referred to as large sample intervals. (g) If the p-value is 0.39 the null hypothesis is accepted at size =0.05.