Are you puzzled by strange statistical terms or abbreviations? Are you looking for a statistical dictionary that explains these statistical terms in plain English? You’re at the right place! Jim’s Statistics Glossary lists and explains the most commonly used terms in statistics. This is the best place for those learning statistics to start and familiarize themselves with statistical jargon. If you would like for me to explain something that is not listed here, please contact me.

- Alpha
- Alternative hypothesis
- Attribute variables
- Biased estimator
- Binary logistic regression
- Binary variables
- Categorical variables
- Coefficient of determination
- Coefficients
- Confidence interval of the prediction
- Continuous variables
- Correlation
- Descriptive statistics
- Effect
- Estimator
- Factors
- Fitted line plots
- Fitted values
- Fixed and Random factors
- Hypothesis tests
- Inferential statistics
- Linear least squares
- Mode
- Nominal logistic regression
- Nominal variables
- OLS
- Ordinal logistic regression
- Ordinary least squares
- Outliers
- P-value
- Parameter
- Pearson product moment correlation
- PI
- Poisson variables
- Population
- Predicted values
- Prediction intervals
- Qualitative variables
- R-squared
- Random factors
- Regression analysis
- Regression coefficients
- Reliability
- Residuals
- Sample
- Significance level
- Spearman rank-order correlation
- Standard scores
- Standard error of the regression
- Standardization
- Statistical inference
- Statistics
- Type I error
- Type II error
- Unbiased estimator
- Validity