Question 1

What condition can make Post Hoc tests less robust?

Accepted Answer

A) Equal group sizes. 
B) Effect sizes. 
C) Outliers and heteroscedasticity. 
D) Homoscedasticity. 
A) Equal group sizes. 
B) Effect sizes. 
C) Outliers and heteroscedasticity. 
D) Homoscedasticity.

Question 2

A sports coach running a junior coaching programme was interested in examining the differences in children's fitness performance scores across four different coaching regimes.She was particularly interested in whether the regime the child was in had a possible influence on the child's fitness performance score.She ran an ANOVA with the predictor variable 'coaching regime',which had four categories,'Yellow group','Green group','Pink group' and 'Purple group'; the outcome variable was 'fitness performance score'. Her ANOVA had an F-statistic of 98.12 (p 0.02).How would you interpret her findings?

Accepted Answer

A) There is a significant difference in children's fitness performance score by coaching regime. 
B) There is no significant difference in children's fitness performance score by coaching regime. 
C) There is insufficient information; the results of Post hoc tests are needed. 
D) The results are ambiguous. 
A) There is a significant difference in children's fitness performance score by coaching regime. 
B) There is no significant difference in children's fitness performance score by coaching regime. 
C) There is insufficient information; the results of Post hoc tests are needed. 
D) The results are ambiguous.

Question 3

What is the overall effect of an independent variable on a dependent variable known as?

Accepted Answer

A) The interaction effect 
B) The main effect 
C) The direct effect 
D) The indirect effect 
A) The interaction effect 
B) The main effect 
C) The direct effect 
D) The indirect effect

Question 4

The table below contains the length of time (minutes)for which different groups of students were able to stay awake to revise statistics after consuming 500 ml of one of three different types of stimulants.What is the variation in scores from groups A to B to C known as?

Accepted Answer

A) The within-groups variance 
B) Homogeneity of variance 
C) The grand variance 
D) The between-groups variance 
A) The within-groups variance 
B) Homogeneity of variance 
C) The grand variance 
D) The between-groups variance

What condition can make Post Hoc tests less robust?

What is the overall effect of an independent variable on a dependent variable known as?

The table below contains the length of time (minutes)for which different groups of students were able to stay awake to revise statistics after consuming 500 ml of one of three different types of stimulants.What is the variation in scores from groups A to B to C known as?

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

The Beast of Bias

Non-Parametric Models

Correlation

Regression

Comparing Two Means

Moderation,mediation and More Regression

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 12: Glm 1: Comparing Several Independent Means

What condition can make Post Hoc tests less robust?

What is the overall effect of an independent variable on a dependent variable known as?

The table below contains the length of time (minutes)for which different groups of students were able to stay awake to revise statistics after consuming 500 ml of one of three different types of stimulants.What is the variation in scores from groups A to B to C known as?

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

The Beast of Bias

Non-Parametric Models

Correlation

Regression

Comparing Two Means

Moderation,mediation and More Regression

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