Hypothesis Testing Quiz

What is the first step in hypothesis testing?

• Analyze sample data

• Formulate an analysis plan

• State the hypotheses

• Interpret results

What does the region of acceptance represent in hypothesis testing?

• Range of values where null hypothesis is not rejected

• Range of values where null hypothesis is rejected

• Range of values where alternative hypothesis is affirmed

• Range of values where p-value is calculated

In hypothesis testing, what does the p-value represent?

• Clear cutoff for decision

• Directly indicates strength of evidence

• Comparison to a threshold value

• Probability of observing data assuming null hypothesis is true

What is the decision rule for the critical value method in hypothesis testing?

• Test statistic > critical value → reject H₀

• Test statistic ≤ critical value → reject H₀

• Test statistic > critical value → fail to reject H₀

• Test statistic ≤ critical value → fail to reject H₀

Which method in hypothesis testing is often preferred for its intuitive probabilistic interpretation and flexibility?

• Critical Value Method

• P-value Method

• Region of Acceptance Method

• Analysis Plan Method

What is the significance level typically set at in hypothesis testing?

• 0.05

• 0.01

• 0.20

• 0.10

What does it mean if the null hypothesis is rejected in hypothesis testing?

• Null hypothesis is affirmed

• Hypothesized difference is significant

• Alternative hypothesis is affirmed

• Hypothesized difference is not significant

Which method in hypothesis testing uses statistical tables for decision making?

• Analysis Plan Method

• Region of Acceptance Method

• Critical Value Method

• P-value Method

What is the second step in hypothesis testing after stating the hypotheses?

• Analyze sample data

• Interpret results

• Formulate an analysis plan

• Make a decision

What is the basis for the p-value method in hypothesis testing?

• Probability of observing data

• Comparison to a threshold value

• Clear cutoff for decision

• Directly indicates strength of evidence