Explain What Is a P Value, and How It Is

Question

Examlex · Accepted Answer

The Answer is A p-value is a measure of the strength of evidence against the null hypothesis in a hypothesis test. In hypothesis testing, the null hypothesis is a statement that there is no effect or no difference, while the alternative hypothesis is a statement that there is an effect or a difference. The p-value helps us determine whether the evidence from our sample data is strong enough to reject the null hypothesis in favor of the alternative hypothesis.

In hypothesis testing, we calculate the p-value based on the sample data and the assumed null hypothesis. If the p-value is less than a predetermined significance level (usually 0.05), we reject the null hypothesis and conclude that there is enough evidence to support the alternative hypothesis. If the p-value is greater than the significance level, we fail to reject the null hypothesis and conclude that there is not enough evidence to support the alternative hypothesis.

For example, let's say a pharmaceutical company wants to test a new drug to see if it is effective in reducing blood pressure. The null hypothesis would be that the drug has no effect on blood pressure, while the alternative hypothesis would be that the drug does have an effect. After conducting a study, the researchers calculate a p-value of 0.03. Since this p-value is less than the significance level of 0.05, they would reject the null hypothesis and conclude that there is enough evidence to support the alternative hypothesis that the drug does have an effect on blood pressure.

Explain What Is a P Value, and How It Is

Essay

Correct Answer:
Answered by ExamLex AI

Explain What Is a P Value, and How It Is

Essay

Correct Answer:Answered by ExamLex AIShow Answer

Correct Answer:
Answered by ExamLex AI