This page provides a glossary of all statistics terms and concepts available on Statology.
A
- Aggregation Bias
- Alternative Hypothesis
- Antecedent Variables
- Ascertainment Bias
- Assumptions of ANOVA
- Assumptions of Linear Regression
- Assumptions of Logistic Regression
B
- Benjamini-Hochberg Procedure
- Bernoulli vs Binomial Distribution
- Bimodal Distributions
- Binomial Coefficient
- 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?
- Categorical Distribution
- Ceiling Effects
- Chi-Square Test vs. t-Test
- Chow Test
- Class Boundaries
- Class Midpoints
- Cochran’s Q Test
- Comparing Box Plots
- Comparing Z-Scores from Different Distributions
- Concomitant Variables
- Conditional Relative Frequency in a Two-Way Table
- Conditions of the Central Limit Theorem
- Confidence Interval Using the F Distribution
- Confidentiality vs Anonymity
- Continuity Correction
- Covariates
- Criterion Validity
- Criterion Variable
- Cross-Lagged Panel Design
D
- Detrending Data
- Dichotomous Variables
- Differences Between ANOVA, ANCOVA, MANOVA, and MANCOVA
- Dixon’s Q Test for Outliers
- Durbin-Watson Test
E
- Empirical Rule Practice Problems
- Erlang Distribution
- Estimating the Mean and Median of Histograms
- Eta Squared
- Examples of ANOVA in Real Life
- Examples of Linear Regression in Real Life
- Examples of Logistic Regression in Real Life
- Expected Frequency
- Extraneous Variables
F
- Family-wise Error Rate?
- Find Outliers Using the Interquartile Range
- Finite Population Correction Factor
- Floor Effects
H
I
- Instrumental Variables
- Internal Consistency
- Interpreting Z-Scores
- Intervening Variables
- Is the Interquartile Range (IQR) Affected By Outliers?
J
K
L
M
- Manipulated Variables
- Marginal Distribution
- 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
- Mean Absolute Deviation vs Standard Deviation
- MLE for a Uniform Distribution
- MLE for a Poisson Distribution
- Multinomial Coefficient
- Multistage Sampling
- Mutually Inclusive vs. Mutually Exclusive Events
N
- Neyman Bias
- Nonresponse Bias
- Normal Distribution vs. t-Distribution
- Normalize Data Between 0 and 100
O
P
- Paired Data
- Parsimonious Model
- Partial F-Test
- Pearson Correlation Coefficient
- Phi Coefficient
- Pillai’s Trace
- Point Estimate
- Pooled Standard Deviation
- Pooled Variance
- Population Proportion
- PRESS Statistic
- Probability of A and B
- Probability of A or B
- Probability of “At Least One” Success
- Probability Mass Function
- Pseudoreplication
R
- Range Rule of Thumb
- Random Selection vs. Random Assignment
- Rayleigh Distribution
- Referral Bias
- Residuals
- Restriction of Range
- Reverse Causation
S
- Sample Mean vs. Population Mean
- Sampling With Replacement vs. Without Replacement
- Satterthwaite Approximation
- Standard Deviation vs. Standard Error
- Snowball Sampling
- Somer’s D
- Split-Half Reliability
- Standardized Residuals
- Standardized Test Statistic
- Standardized vs. Unstandardized Regression Coefficients
- Stanine Score
- Sturges’ Rule
- Success/Failure Condition
T
- Tetrachoric Correlation
- The 10% Condition
- Third Variable Problem
- Treatment Diffusion
- Tukey vs. Bonferroni vs. Scheffe
U
W
- What is Considered a Good Value for MAPE?
- 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?
- Winsorize Data