Which of the following are true statements about the p-value and hypothesis tests?
Select all that apply.
Select one or more:
A)The p-value is the probability the null hypothesis is correct.
B) The p-value is the probability the alternative hypothesis is correct.
C) The p-value is 1 - (the probability the alternative hypothesis is correct)
D) If the p-value is large it indicates we did not calculate the test statistic correctly.
E) The p-value is calculated assuming the null hypothesis is true.
F) The p-value is calculated assuming the alternative hypothesis is true.
G) If the p-value is small it indicates the data is unlikely under the null hypothesis.
H) A hypothesis test can be run for a simple random sample of 20 observations from a non-normal population.
I) A hypothesis test can be run for a simple random sample of 45 observations from a non-normal population.
J) A hypothesis test can be run for a convience sample of 20 observations from a normal population.
K) A hypothesis test can be run for a convience sample of 45 observations from a non-normal population.
L) A hypothesis test can be run for a simple random sample of 20 observations from a normal population.