Which of the following best describes a p-value?
A) A p-value is the probability of getting our population results or more extreme if the null hypothesis about the sample statistic were really true
B) A p-value is the probability of getting our sample results or more extreme if the null hypothesis about the population parameter were really true
C) A p-value is the probability of getting our sample results.
D) A p-value is the probability of getting our sample results or more extreme if the null hypothesis about the population parameter were really false

Question

Quizplus · Accepted Answer

A p-value is the probability of getting our sample results or more extreme if the null hypothesis about the population parameter were really true. It measures the strength of evidence against the null hypothesis. If the p-value is small (typically less than 0.05), we reject the null hypothesis and conclude that there is enough evidence to support the alternative hypothesis. If the p-value is large (typically greater than 0.05), we fail to reject the null hypothesis and do not have enough evidence to support the alternative hypothesis.

Which of the Following Best Describes a P-Value