ESTIMATION AND HYPOTHESIS

What is the purpose of hypothesis testing?

• To make inferences about a population
• To estimate unknown parameters
• To confirm theories
• To reject null hypotheses

What is a null hypothesis?

• A statement of no effect
• A hypothesis based on sample data
• A hypothesis based on past research
• A claim about a population

Which hypothesis states that there is no significant difference?

• Null hypothesis
• Alternative hypothesis
• Significance hypothesis
• Directional hypothesis

What is an alternative hypothesis?

• A hypothesis that contradicts the null
• A hypothesis that supports the null
• A hypothesis with no direction
• A hypothesis that has no relation

What is the level of significance?

• Probability of rejecting a true null
• Probability of accepting a false null
• A confidence level
• A p-value

Which test is used when population variance is unknown?

• T-test
• Z-test
• F-test
• Chi-square test

The probability of rejecting a true null hypothesis is called?

• Significance level
• Beta error
• Alpha error
• Confidence level

What is a Type I error?

• Rejecting a true null hypothesis
• Accepting a false null hypothesis
• Failing to reject a true null
• Failing to reject a false null hypothesis

What is a Type II error?

• Failing to reject a false null
• Rejecting a false null
• Rejecting a true null
• Accepting a true null

Which of the following is a parametric test?

• T-test
• Chi-square test
• Regression test
• F-test