Question

Which of the following is a true statement?
A. A well-planned test of significance should
result in a statement
that either the null hypothesis is
true or that it is false.
The null hypothesis is one-sided and expressed using either < or > if there is interest in
deviations in only one direction.
C. When a true parameter value is further from the hypothesized value, it becomes easier to
reject the alternative hypothesis.
D. Tests of significance (hypothesis tests) are designed to measure the strength of evidence
against the null hypothesis.
E. Increasing the sample size makes it more difficult to conclude that an observed distance
between observed and hypothesized values is significant.​

Answer 1

Step-by-step explanation:

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Answer 2

Answer :-

D. Test of significance ( hypothesis tests) are designed to measure the strength of evidence against the null hypothesis