Question 1

A correlation coefficient will fall within which of the following ranges?

Accepted Answer

A)  -1 to +1 
B)  0 to +1 
C)  0 to -1 
D)  -0.5 to +0.5 
A)  -1 to +1 
B)  0 to +1 
C)  0 to -1 
D)  -0.5 to +0.5

Question 2

Researchers wanted to know if the success of the UK in specific sports at the Olympics influenced sports participation in the UK. Having collected data from a variety of sports and the total number of medals won, which type of correction test might you want to run?

Accepted Answer

A)  Pearson's coefficient 
B)  Spearman's rho 
C)  Kendall's tau 
D)  Kolmogorov-Smirnov 
A)  Pearson's coefficient 
B)  Spearman's rho 
C)  Kendall's tau 
D)  Kolmogorov-Smirnov

Question 3

Which of the following is not a correlation test?

Accepted Answer

A)  Spearman's rho 
B)  Pearson product-moment 
C)  Kendall's tau 
D)  Kolmogorov-Smirnov 
A)  Spearman's rho 
B)  Pearson product-moment 
C)  Kendall's tau 
D)  Kolmogorov-Smirnov

Question 4

Examine the following scatterplot. How would you describe its appearance?

Accepted Answer

A)  Positive relationship 
B)  Negative relationship 
C)  No relationship 
D)  Inverse relationship 
A)  Positive relationship 
B)  Negative relationship 
C)  No relationship 
D)  Inverse relationship

Question 5

If the R2 value for intrinsic motivation and success in performing a specific Olympic high board dive (e.g. reverse twist with pike) is +.71, how much variability can be accounted for by other variables?

Accepted Answer

A)  29% 
B)  32% 
C)  35% 
D)  40% 
A)  29% 
B)  32% 
C)  35% 
D)  40%

A correlation coefficient will fall within which of the following ranges?

Researchers wanted to know if the success of the UK in specific sports at the Olympics influenced sports participation in the UK. Having collected data from a variety of sports and the total number of medals won, which type of correction test might you want to run?

Which of the following is not a correlation test?

Examine the following scatterplot. How would you describe its appearance?

If the R² value for intrinsic motivation and success in performing a specific Olympic high board dive (e.g. reverse twist with pike) is +.71, how much variability can be accounted for by other variables?

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

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 8: Correlation

A correlation coefficient will fall within which of the following ranges?

Researchers wanted to know if the success of the UK in specific sports at the Olympics influenced sports participation in the UK. Having collected data from a variety of sports and the total number of medals won, which type of correction test might you want to run?

Which of the following is not a correlation test?

Examine the following scatterplot. How would you describe its appearance?

If the R2 value for intrinsic motivation and success in performing a specific Olympic high board dive (e.g. reverse twist with pike) is +.71, how much variability can be accounted for by other variables?

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

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

If the R² value for intrinsic motivation and success in performing a specific Olympic high board dive (e.g. reverse twist with pike) is +.71, how much variability can be accounted for by other variables?