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