WorksheetsStatistical Mind Mapping P1
Total questions: 20
Worksheet time: 10mins
Flat, wide bell curve
Platykurtic
Leptokurtic
Mesokurtic
Normal
A correlation of r = 0 means no linear relationship.
A positive linear relationship
A negative linear relationship
No linear relationship
A perfect linear relationship
Multiple regression involves two or more predictors.
One predictor
Two or more predictors
Three predictors
No predictors
Test that analyzes relationships between categorical variables
T-test
ANOVA
Chi-square
Regression Analysis
Basis for stratified sampling
Subgroups or categories
Random selection
Single group analysis
Overall population
Middle score in an ordered list
Mean
Mode
Median
Range
A correlation of r = .80 indicates a strong relationship.
A weak relationship
A moderate relationship
A strong relationship
No relationship
Logistic regression is used when the dependent variable is categorical.
Continuous
Ordinal
Categorical
Nominal
ANOVA effect size is often reported as eta-squared (η²).
Eta-squared (η²)
Alpha-squared (α²)
Beta-squared (β²)
Gamma-squared (γ²)
Test that compares 3 or more group means
One-way ANOVA
Two-way ANOVA
T-test
Chi-square test
Test for equal variances across groups
Levene's Test
T-test
ANOVA
Chi-square Test
Test that compares two independent groups
Independent samples t-test
Paired samples t-test
One-way ANOVA
Chi-square test
Definition of multicollinearity
Predictors are highly correlated
Predictors are independent of each other
Predictors have a linear relationship with the response variable
Predictors are normally distributed
Measure of central tendency most affected by extreme scores
Median
Mode
Mean
Range
Regression predicts outcomes using predictor variables.
Predicts outcomes using predictor variables
Analyzes data without any variables
Only predicts outcomes based on past data
Ignores predictor variables in analysis
Probability of detecting a real effect
Power
Significance
Confidence
Variance
MANOVA is used when there are
A single dependent variable (DV)
Multiple dependent variables (DVs)
No dependent variables
Only independent variables
Basis for convenience sampling
Accessibility
Randomness
Cost-effectiveness
Comprehensiveness
Kruskal-Wallis is the nonparametric version of
Two-way ANOVA
One-way ANOVA
T-test
Chi-square test
A significant interaction in Two-Way ANOVA means one factor's effect depends on another factor.
One factor's effect depends on another factor
Both factors have independent effects
The interaction has no effect on the outcome
Only one factor influences the result
