The p-value of a test is: a. the smallest at which the null ...

[piesebel]

The p-value of a test is:
 a. the smallest  at which the null hypothesis can be rejected.
  b. the largest  at which the null hypothesis can be rejected.
  c. the smallest  at which the null hypothesis cannot be rejected.
  d. all of the above.

Question 2

If we do not reject the null hypothesis, we conclude that:
 a. there is enough statistical evidence to infer that the alternative hypothesis is true.
  b. there is not enough statistical evidence to infer that the alternative hypothesis is true.
  c. there is enough statistical evidence to infer that the null hypothesis is true.
  d. the test is statistically insignificant at whatever level of significance the test was conducted.

[mk6555]

Answer to Question 1

A

Answer to Question 2

B

[piesebel]

Excellent

[diana chang]

Great answer, keep it coming