Association; Cases; Categorical; Categorical Table; 1-Way Table; 2-Way Table Context; Continuous Data; Data; Datum; Discrete; Independence-Informal Rule; Individual; Quantitative Data; Round-off Error; Statistics; Units; Variable

5-Number Summary; 68-95-99.7 Rule; Back-to-Back Stemplots; Bimodal; Boxplot; Center; Chebyshev's Inequality; Cumulative Frequency Distribution; Cumulative Relative Frequency Distribution; Degrees of Freedom; Density Curve; Departure; Distribution; Dotplot; Gap; Histogram; Interquartile Range; 1.5 IQR Rule; Linear Transformation Rules; Mean; Mean of a Density Curve; Median; Median of a Density Curve; Mode; Multimodal. Normal Model; Normal Distribution; Normal Probability Plot; Outliers; Overall Pattern; Population Size; Percentile; Percentile Rank; Quartile; Lower Quartile; Upper Quartile; Range; Relative Frequency Histogram; Resistant; CUSS; Sample Size; Shape; Skewness; Spread; Standard Deviation; Standard Deviation of a Density Curve; Standard Normal Model; Standardized Value; Stemplot; Split Stemplot; Square of Sums; Symmetric; Tail vs. Head of a Distribution; Timeseries; Uniform; Unimodal; Variance

Association; Bivariate Outlier; Bivariate Transformation; Coefficient of Determination; Correlation; Direction; Explanatory Variable; Extrapolation; Form; Ladder of Power; Least Squares Regression Line; Linear Model; Lurking Variable; Model; Overprediction; Point of influence; Point of Leverage; Predicted Value; Regression to the Mean; Response Variable; Residual; Residual Plot; Scatterplot; Slope; Standard Deviation of the Residuals; Strength; Subset; Sum of Least Squares; Underprediction; y-Intercept

Bias; Bias Types; Voluntary Response, Response, NonResponse, Convenience, Undercoverage, Wording; Block; Blocking Variable; Census; Cluster Sampling; Clusters; Completely Randomized Experiment; Completely Randomized Two Factor Experiment; Confounding; Control; Control Group; Convenience Sampling; Double-Blind; Experiment; Experimental Units; Factor; Generating Random Numbers; Inference; Lurking Variable; Levels; Matched Pairs Design; Matching; Multistage Sampling; Observational Study; Participants; Pilot; Placebo; Placebo Effect; Population; Population Parameter; Prospective Study; Psuedorandom Numbers; Random; Random Assignment; Random Number Table; Random Numbers; Random Sampling; Randomize; Randomized Block Design; Randomization; Replication; Representative; Response Variable; Retrospective Study; Sample; Sample Frame; Sample Size; Sample Statistics; Sample Survey; Sampling Variability; Scope of Inference; Simple Random Sample; Simulation; Simulation Component; Single-Blind; Statistically Significant; Strata; Stratified Random Sample; Subjects; Systematic Sampling; Treatments; Trial; Voluntary Response Sample

Addition Rule; Baye's Rule; Complement; Conditional Probability; Disjoint; Empirical Probability; Event; General Addition Rule; Independence Assumption; Independence Equation; Independent Events; Intersection; Joint Probability; Law of Large Numbers; Multiplication Rule; Mutually Exclusive; Outcome; Probability; Random Phenomenon; Replacement; Sample Space; Subjective Probability; Tree Diagram; Trial; Trial; Venn Diagram

Bernouilli Trial; Binomial Coefficient; Binomial Distribution; Binomial Model; Binomial Random Variable; Continuous Random Variable; Difference of Discrete Random Variables; Discrete Random Variables; Expected Value; Geometric Distribution; Geometric Model; Geometric Random Variable; Independent Random Variable; Linear Transformation of Random Variable X; Mean of Binomial Random Variable; Mean of Discrete Random Variable; Mean of Geometric Random Variable; Probability Distribution; Probability Model; Random Variable; Standard Deviation of Binomial Random Variable; Standard Deviation of a Discrete Random Variable; Standard Deviation of Geometric Random Variable; Sum of Discrete Random Variables; Variance of a Discrete Random Variable

Biased Estimator; Central Limit Theorem. Nearly Normal Condition; Normal Approximation; Parameter; Population Distribution; Sampling Distribution Model for a Mean; Sampling Distribution Model; Sampling Distribution Model for a Proportion; Sampling Error; Sampling Error; Sampling Variability; Statistic; Unbiased Estimator