Probability and Statistics > Statistics Definitions

Confused about a term in elementary probability and statistics? Check out our explanations for statistical terms. Statistics definitions in simple English! Many of the statistics definitions you’ll find here include videos, graphs and charts to make the explanations easier to understand.

Select A Definition 10% Condition 68 95 and 99.7 Rule Absolute Risk Absolute Value Ad Hoc Analysis Addition Rule in Probability Additive Tree Adjusted Coefficient of Determination Adjusted R2 / Adjusted R-Squared Allocation Concealment Alpha Level Alternate Hypothesis ANCOVA ANOVA Area Principle Arithmetic Mean Ascertainment Bias Assumption of Independence Assumption of Normality Back-to-Back Stemplot Bar Chart Bar Graph Bartlett’s Test Bell Curve Benford’s Law Benjamini-Hochberg Correction Bernoulli Trial Beta Distribution Beta Level Bias in Statistics Bimodal Distribution Bin in Statistics Binary Variable Binomial Distribution Binomial Experiment Binomial Distribution Formula Bivariate Analysis Blinding Boruvka’s Algorithm Bowley Skewness Box and Whiskers Chart Boxplot Burr Distribution Business Statistics Calculus Cardinal Numbers Cartesian Plane Categorical Variable Causation Cauchy Distribution Cauchy-Schwarz Inequality Censoring Census Central Limit Theorem Central Tendency Chauvenet’s Criterion Chebyshev’s Inequality Chi-Square Statistic Cluster Sampling Clustering Coefficient of Determination Coefficient of Variation Cohen’s Kappa Statistic Classical Probability Collinear Conditional Probability Confidence Interval Confidence Level Construct Validity Content Validity Contingency Table Continuity Correction Factor Continuous Probability Distribution Continuous Variable Control Variable Correlation Correlation Coefficient Formula Covariance in Statistics Criterion variable Critical Value of Z Cronbach’s Alpha Cumulative Frequency Distribution Cumulative Distribution Function Curvilinear Data Analysis Data Collection Methods Data Mining Data Sets Decile Degenerate Distribution Density Curve Dependent Event Dependent variable Design Effect Dichotomous Variable Direction of Association Discrete Variable Discrete Probability Distribution Dot Plot Dummy Variables Durbin Watson Test Effect Size Efficiency Elementary Statistics Empirical Research Empirical Rule Endogenous variable Erlang Distribution Estimator ETA squared Expected Value Formula Expected Monetary Value Exploratory Data Analysis Exponential distribution External Validity Extraneous Variable Extrapolation Extreme Value Distribution Factor Analysis Factorial! F Distribution F Table F Statistic False Discovery Rate False Positive and Negative Fisher Z Five Number Summary Fixed Effects Folded Normal Distribution Frequency Distribution Table Frequency Polygon F Table Generalized Error Distribution Geometric Distribution Geometric Mean Goldfeld Quandt Test Goodness of Fit Test Grouping Variable Harmonic Mean Heavy Tailed Distribution Heteroscedasticity Hierarchical Linear Modeling Homogeneity Hypergeometric Distribution Hypothesis test IID Statistics Imaginary Numbers Implicit Factors Independent Variable Internal Consistency Internal Validity Interquartile Range Formula Interval Scale Intervening Variable Inferential Statistics Information Bias Intraclass Correlation Inverse Normal Inverse Gaussian Distribution Item Response Theory Jarque-Bera Test Kaplan Meier Analysis Kelly’s Measure of Skewness Kruskal Wallis Test Kuder-Richardson Kurtosis Laplace Distribution Large Enough Sample Condition Latent Class Analysis Latent Variable Law of Large Numbers Least Squares Regression Line Leptokurtic Levene Test Likert Scale Line Graph Location Parameter Logarithms Lognormal Distribution Log-Rank test Lowess Smoothing Manipulated Variable Mann Whitney U Test Marginal Distribution Market Basket Analysis McNemar Test Mean Mean Squared Error Median Absolute Deviation Method of Moments Middle Fifty Midrange Minimum Spanning Tree Mode Monty Hall Problem Monte Carlo Simulation Moving Average Moment Moment Generating Function Multicollinearity Multidimensional Scaling Multimodal Distribution Multinomial Distribution Multiplication Rule Probability Mutually Exclusive Event Nakagami Distribution Negative Binomial Experiment Negative Binomial Distribution Nominal Variable Nominal Ordinal Interval Ratio Non-Parametric Data and Tests Normal Distribution? Normal Distribution Probability Normal Probability Plot Null Hypothesis Observer Bias One Way ANOVA (Analysis of Variance) Open Ended Distribution Order Statistics Ordinal Numbers and Ordinal Data OU Process P-Value Parameter Parametric Modeling Parametric Tests Pareto Distribution Pareto Principle Park Test Partial Correlation Pascal’s Triangle Pearson Correlation Pearson Mode Skewness Pearson’s Coefficient of Skewness Percentiles Permutations Permuted Block Randomization PERT Distribution Phi Coefficient Pie Chart Point Biserial Correlation Point Estimate Poisson Distribution Poisson Process Polya Urn Polychoric Correlation Population Population Mean Population Density Post-hoc Power Law Power Mean Predictive Analytics Prim’s Algorithm Principal Component Analysis Probability Density Function Probability Distribution Probability Distribution Table Prime Numbers Pygmalion Effect Purposive Sampling Qualitative Research Qualitative Variables Quantile Quantitative Research Quantitative Variables Quartiles Q-Value Random variable Rate Ratio Ratio Scale Rayleigh Distribution Redundancy Analysis Regression Equation Reject the Null Hypothesis Relative Precision RFM (Customer Value) Relative Frequency Relative Frequency distribution Relative Risk Relative Standard Deviation Reliability Residual Residual Sum of Squares Responding Variable Rician Distribution Richter Scale Robust Statistics Sample Mean Sample Variance Scale Parameter Scatter Plot in Statistics Segmented Bar Chart Semantic Differential Scale Shape Parameter Shapiro-Wilk Test Simple linear regression Simple Random Sample Simpson’s Paradox Skewed Distribution Slope Formula Snowball Sampling Spearman-Brown Formula Spearman Rank Correlation St. Petersburg Paradox Standard Deviation Standard Error of a Sample Standardized Residuals Stanine Score Statistic Statistical Analysis Statistical Conclusion Validity Statistical Power Statistical Significance Stemplot (Stem and Leaf) Stratum Student’s T-Test Sufficient Statistic Summary Statistics Summation Notation Survival Analysis Symmetric Distribution T Distribution T Score Formula T Statistic T-score Test Statistic Tetrachoric Correlation Thurstone Scale Timeplot Trimmed Mean / Truncated Mean Truncated Normal Distribution Tukey Method for Outliers Tweedie Distribution Two Way Table Type I and Type II Errors Type III and Type IV Errors Unbiased Undercoverage Unidimensionality Uniform Distribution Unimodal Distribution Univariate Analysis Variable Variability Variance Variance Inflation Factor Variance of the sampling distribution of the sample mean Venn Diagram Templates Weibull Distribution White Test Wilcoxon Signed Rank Sum Test Within Mean Square Weighted Mean W Statistics Z Test Z-Score What is a Z Table? Zeta Distribution

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If you prefer an online interactive environment to learn R and statistics, this free R Tutorial by Datacamp is a great way to get started. If you're are somewhat comfortable with R and are interested in going deeper into Statistics, try this Statistics with R track .

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