Glossary

This page provides a glossary of all statistics terms and concepts available on Statology.

A

• Aggregation Bias
• Antecedent Variables
• Assumptions of ANOVA
• Assumptions of Linear Regression
• Assumptions of Logistic Regression

B

• Benjamini-Hochberg Procedure
• Bimodal Distributions
• Binomial Experiments
• Bivariate Analysis
• Blocking
• Brier Score

C

• C-Statistic of a Logistic Regression Model
• Calculate a Pearson Correlation Coefficient by Hand
• Can a Z-Score Be Negative?
• Can Kurtosis Be Negative?
• Ceiling Effects
• Chi-Square Test vs. t-Test
• Class Midpoints
• Comparing Z-Scores from Different Distributions
• Concomitant Variables
• Conditional Relative Frequency in a Two-Way Table
• Confidence Interval Using the F Distribution
• Confidentiality vs Anonymity
• Continuity Correction
• Covariates
• Criterion Variable

D

• Differences Between ANOVA, ANCOVA, MANOVA, and MANCOVA
• Dixon’s Q Test for Outliers

E

• Extraneous Variables
• Empirical Rule Practice Problems
• Examples of ANOVA in Real Life
• Examples of Linear Regression in Real Life
• Examples of Logistic Regression in Real Life
• Expected Frequency

F

• Family-wise Error Rate?
• Finite Population Correction Factor
• Floor Effects

H

• How Do Outliers Affect the Mean?
• How to Read a Correlation Matrix

I

• Instrumental Variables
• Internal Consistency
• Intervening Variables
• Is the Interquartile Range (IQR) Affected By Outliers?

K

• Kendall’s Tau

L

• Large Sample Condition
• Ljung-Box Test
• Lurking Variables

M

• Margin of Error vs. Standard Error
• Matrix Multiplication: (2×2) by (2×2)
• Matrix Multiplication: (2×2) by (2×3)
• Matrix Multiplication: (3×3) by (3×2)
• Maximum Variation Sampling
• MLE for a Uniform Distribution
• MLE for a Poisson Distribution
• Multinomial Coefficient

N

• Neyman Bias
• Nonresponse Bias
• Normal Distribution vs. t-Distribution
• Normalize Data Between 0 and 100

O

• Observation
• Omitted Variable Bias
• Order Effects

P

• Parsimonious Model
• Pearson Correlation Coefficient
• Phi Coefficient
• Pooled Standard Deviation
• PRESS Statistic
• Pseudoreplication

R

• Range Rule of Thumb
• Random Selection vs. Random Assignment
• Referral Bias
• Reverse Causation

S

• Sample Mean vs. Population Mean
• Standard Deviation vs. Standard Error
• Snowball Sampling
• Split-Half Reliability
• Standardized Test Statistic
• Standardized vs. Unstandardized Regression Coefficients
• Success/Failure Condition

T

• The 10% Condition
• Treatment Diffusion

U

• Undercoverage Bias
• Understanding the Shape of a Binomial Distribution

W

• What is a Good R-squared Value?
• What is Considered to Be a Strong Correlation?
• What is the Difference Between a T-test and an ANOVA?

Z

• Zero-Order Correlation