Module 6 Hypothesis Testing Quiz

What is a hypothesis?

• A tentative statement about the relationship between variables

• An explanation that is provisionally accepted

• A specific, testable prediction

• An assertion or conjecture concerning populations

What is a statistical hypothesis?

• A specific, testable prediction

• An assertion or conjecture concerning populations

• A tentative statement about the relationship between variables

• A premise that is to be claimed and tested

What is the purpose of a confidence level in hypothesis testing?

• To measure the reliability of a result

• To compare the p-value with the level of significance

• To determine the likelihood of obtaining sample outcomes if the null hypothesis were true

• To set the level of significance for making a decision

What is the null hypothesis in hypothesis testing?

• A starting point assumption of non-significance

• An assertion about a population parameter assumed to be true

• A statement that directly contradicts the null hypothesis

• A specific, testable prediction

What is the alternative hypothesis in hypothesis testing?

• A starting point assumption of non-significance

• A specific, testable prediction

• A statement that contradicts the null hypothesis

• A statement about a population parameter assumed to be true

What is the purpose of the p-value in hypothesis testing?

• To determine the likelihood of obtaining sample outcomes if the null hypothesis were true

• To set the level of significance for making a decision

• To compare with the confidence level

• To measure the probability of obtaining a statistic when the null hypothesis is true

What is a one-tailed test in hypothesis testing?

• A test where the p-value is greater than the level of significance

• A test where the null hypothesis is always rejected

• A test where the critical region is one-sided of the mean

• A test where the critical region is on both sides of the mean

What is a Type I error in hypothesis testing?

• Rejecting the null hypothesis when it is true

• Rejecting the alternative hypothesis when it is true

• Accepting the null hypothesis when it is true

• Failing to reject the null hypothesis when it is false

What is the purpose of the degree of freedom in statistics?

• To measure the reliability of a result

• To calculate the p-value

• To set the level of significance for hypothesis testing

• To determine the number of variables free to vary

What is the appropriate statistical test for two independent groups?

• One-independent samples t-test

• Mann-Whitney U Test

• Chi-Square Goodness of Fit Test

• Wilcoxon Rank-Sum Test