Question 1

A desired probability of correctly rejecting the null hypothesis is the _____.

Accepted Answer

Power of the test is the probability of correctly rejecting the null hypothesis. Type I error is the probability of rejecting the null hypothesis when it is actually true. Type II error is the probability of failing to reject the null hypothesis when it is actually false. Effect size of the test refers to the magnitude of the difference or relationship being tested, but is not directly related to the probability of correctly rejecting the null hypothesis.

Question 2

When examining the strength of the relationship between study time and test score, the null hypothesis would suggest that the true population correlation is:

Accepted Answer

The null hypothesis assumes that there is no correlation between study time and test score, which would mean a correlation of 0.00. Therefore, the answer is C.

Question 3

The appropriate statistical test for nominal level data of two groups is the:

Accepted Answer

The answer of The appropriate statistical test for nominal level...

Question 4

A researcher wants to know if cholesterol levels are lower in vegetarians or nonvegetarians. Which statistical test would be most appropriate for this data?

Accepted Answer

The t test is the most appropriate statistical test for comparing the mean cholesterol levels between two groups (vegetarians vs. nonvegetarians). Chi-square test is used for categorical data, analysis of variance is used for comparing means between more than two groups, and Pearson correlation is used to determine the relationship between two continuous variables.

Question 5

The appropriate statistical test for interval or ratio level data is the _____.

Accepted Answer

The answer of The appropriate statistical test for interval or...

Question 6

A researcher is interested in knowing whether responses to lowering the legal age for drinking alcohol varies by gender. Which statistical test would be most appropriate for this type of data?

Accepted Answer

The most appropriate statistical test for this type of data would be a chi-square test, which is used to determine whether there is a significant association between two categorical variables. In this case, the two categorical variables are gender and response to lowering the legal age for drinking alcohol. The chi-square test will help determine whether there is a significant difference in the frequency of responses between males and females.

Question 7

With three independent variables and a single dependent variable, the most appropriate statistical test for analyzing the data would be the _____.

Accepted Answer

With three independent variables and a single dependent variable, the most appropriate statistical test would be one-way analysis of variance (ANOVA).

Question 8

A manipulation check is especially important when:

Accepted Answer

A manipulation check is especially important when nonsignificant results are obtained because it helps to determine whether the manipulation effectively induced the conditions it was supposed to. If the manipulation did not work as intended, this could explain the lack of significant findings.

Question 9

If both the independent and dependent variables use nominal scale properties, the most appropriate statistical test would be the _____.

Accepted Answer

The most appropriate statistical test for variables with nominal scale properties is the chi-square test. This test is used to analyze the frequency distribution of categorical data and determine whether there is a significant association between two variables. Pearson correlation and t test are appropriate for variables with continuous scale properties, while analysis of variance (ANOVA) is appropriate for variables with ordinal or interval scale properties.

Question 10

Which statistical test would be most appropriate for examining the relationship between temperature and the number of ice cream cones sold?

Accepted Answer

The most appropriate statistical test for examining the relationship between temperature and the number of ice cream cones sold would be the Pearson correlation coefficient. This test measures the strength and direction of the linear relationship between two continuous variables, such as temperature and ice cream sales. The other options, such as the chi-square test, analysis of variance, and t-test, are not appropriate for analyzing the relationship between two continuous variables.

Quiz 13: Understanding Research Results: Statistical Inference