Hypothesis Testing Quiz

What is the null hypothesis in hypothesis testing?

• The hypothesis we want to prove

• The hypothesis we want to discredit

• A statement about the sample mean

• A hypothesis unrelated to the population

What is the significance level denoted by α in hypothesis testing?

• The probability of rejecting the alternative hypothesis

• The probability of accepting the null hypothesis

• The probability of falsely rejecting the null hypothesis

• The probability of correctly accepting the alternative hypothesis

Which method uses a significance level to reject the null hypothesis?

• Bayesian Method

• Neyman-Pearson Method

• Z-test Method

• T-test Method

What is a p-value in hypothesis testing?

• The largest significance level

• The smallest significance level at which the null hypothesis can be rejected

• The probability of accepting the null hypothesis

• The total area under the test statistic curve

What is a one-sided test?

• A test where the hypothesis is non-directional

• A test where the null hypothesis is rejected for either high or low values

• A test where the hypothesis specifies a parameter greater or less than a certain value

• A test that does not involve sample statistics

What test is used if we do not know the variance of a population?

• Z-test

• T-test

• F-test

• Chi-square test

What does the t-distribution depend on?

• Degrees of freedom

• Sample mean

• Population variance

• Critical region

What does the test statistic in a Z-test measure?

• The distance between the sample mean and the population mean

• The variability of the sample

• The degrees of freedom of the test

• The total probability distribution

What is the critical region in hypothesis testing defined by?

• P-value

• Sample mean

• Test statistic and significance level

• Degrees of freedom

In a one-sided test, which of the following is true about the rejection region?

• It lies in both tails of the distribution

• It only lies in one tail of the distribution

• It is independent of the alternative hypothesis

• It covers the middle of the distribution