Question 1

The assumption of homogeneity of variance is met when

Accepted Answer

A)  The variance in one group is twice as big as that of a different group. 
B)  Variances in different groups are approximately equal. 
C)  The variance across groups is proportional to the means of those groups. 
D)  The variance is the same as the interquartile range. 
A)  The variance in one group is twice as big as that of a different group. 
B)  Variances in different groups are approximately equal. 
C)  The variance across groups is proportional to the means of those groups. 
D)  The variance is the same as the interquartile range.

Question 2

If a distribution is multimodal, what does this mean?

Accepted Answer

A)  It will not be a normal distribution. 
B)  The data have been entered incorrectly. 
C)  It will be a normal distribution. 
D)  It will have to be checked with a Levene's test. 
A)  It will not be a normal distribution. 
B)  The data have been entered incorrectly. 
C)  It will be a normal distribution. 
D)  It will have to be checked with a Levene's test.

Question 3

What does independence of data mean?

Accepted Answer

A)  That we must never collect two sets of data from one person. 
B)  That independent researchers must collect the data. 
C)  That scores from one participant are free from influences from other participant. 
D)  That scores in one condition are free from influences from other conditions. 
A)  That we must never collect two sets of data from one person. 
B)  That independent researchers must collect the data. 
C)  That scores from one participant are free from influences from other participant. 
D)  That scores in one condition are free from influences from other conditions.

The assumption of homogeneity of variance is met when

If a distribution is multimodal, what does this mean?

What does independence of data mean?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

Non-Parametric Models

Correlation

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters

Exam 6: The Beast of Bias

The assumption of homogeneity of variance is met when

If a distribution is multimodal, what does this mean?

What does independence of data mean?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

Non-Parametric Models

Correlation

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters