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.
5
- 5S
8
- 80/20 Rule
a
- Absolute Error
- Absolute Value
- Ad Hoc Analysis
- Affect Heuristic
- Akaike Information Criterion [AIC]
- Alternative hypothesis
- ARIMA
- Ascertainment Bias
- Asymptote
- Attribution Bias
- Autoregressive Model [AR Model]
b
- Baader-Meinhof Phenomenon
- Bayesian Analysis
- Bayesian Information Criterion
- Bell Curve
- Bernoulli Trial
- Bias (Statistics)
- Binary logistic regression
- Binary variables
- Bivariate Data & Analysis
c
- Categorical variables
- Cauchy Distribution
- Causal Relationship
- Classification
- Cluster Analysis
- Coefficient
- Coefficient of Determination
- Cohen’s Kappa
- Confidence Interval [CI]
- Confidence interval of the prediction
- Confidence Level
- Confirmatory Factor Analysis [CFA]
- Confusion Matrix
- Continuous Improvement
- Continuous variables
- Correlation
- Correlation Coefficient
- Correlation Matrix
- Counterbalancing
- Covariance Matrix
- Cox Proportional Hazards Model
- Cross tabulation
- Cumulative
- Cumulative Relative Frequency
- Curse of Dimensionality
d
- Data Normalization
- Data Science
- Data Scientist
- Decile
- Decision Tree
- Dendrogram
- Design of Experiments [DOE]
- Dichotomous Variable
- Distribution
- DMADV
- DMAIC
- Dummy Variable
e
- Ecological Fallacy
- Effect
- Endogenous Variable
- Error Propagation
- Estimator
- Eta Squared [η²]
- Ethnography
- Exogenous Variable
- Experimental Group
- Experimental Probability
- Explanatory Variable
- Exponential Decay Formula
- Exponential Function
- Exponential Growth Formula
- Extraneous Variable
- Extrapolation
- Extreme Value Distribution
f
- Factors
- False Discovery Rate [FDR]
- False Negative [FN]
- False Positive [FP]
- False Positive Rate [FPR]
- Family-Wise Error Rate [FWER]
- First Quartile [Q1]
- Fitted line plots
- Fitted values
- Fixed and Random factors
- Fleiss’ Kappa
- Forecasting
- Forest Plot
- Frequency Distribution
- Friedman Test
g
- Generalizability
- Geometric Progression
- Geometric Sequence
- Geometric Series
- Geometric Sum Formula
- Gini Coefficient
- Grounded Theory
- Grubbs’ Test
h
- Harmonic Mean
- Hierarchical Clustering
- Homogeneous
- Homoscedasticity
i
- Incidence
- Indicator Variable
- Inflection Point
- Information Bias
- Instrumental Variables
- Integer
- Intention-to-Treat Analysis [ITT]
- Internal Consistency
- Internal Consistency
- Interpolation
k
- Kaizen
- Kaplan-Meier Curve
- Kolmogorov-Smirnov Test [K–S test]
l
- Laplace Distribution
- Law of Averages
- Law of Total Probability
- Lean Six Sigma
- Level of Evidence
- Likelihood Ratio Test [LRT]
- Linear Equations
- Linear Function
- Linear Model
- Line of Best Fit
- Local Maximum
- Local Minimum
- Logarithmic Transformation
- Logistic Distribution
- Lorenz Curve
- Lower Quartile
m
- Mahalanobis Distance
- Maximum Likelihood Estimation [MLE]
- Mean Absolute Error [MAE]
- Mean Absolute Percentage Error [MAPE]
- Mean vs. Median
- Measurement Bias
- Measurement Error
- Mediation Analysis
- Mixed Methods Research
- Mode
- Monotonic Function
- Moving Average [MA]
- Multinomial Distribution
- Multiple Linear Regression [MLR]
- Multivariate Normal Distribution
- Mutually Exclusive
n
- Natural Log
- Natural Logarithm [ln(x)]
- Negative Likelihood Ratio [LR⁻]
- Negative Predictive Value [NPV]
- Negativity Bias
- Neural Network [NN]
- Nominal logistic regression
- Nominal variables
- Non-Probability Sampling
- Normal Distribution Equation
- Normality Test
o
- Odds
- Ogive
- Operationalization
- Optimism Bias
- Ordinal logistic regression
- Outliers
p
- Panel Data
- Parameter
- Pareto Distribution
- Partial Least Squares [PLS]
- P Chart
- PDCA (Plan–Do–Check–Act)
- Permutation Test
- Phenomenology
- Piecewise Function
- Point-Biserial Correlation
- Point-Slope Formula of a Line
- Poisson variables
- Polynomial Regression
- Pooled Standard Deviation
- Population
- Population Variance [σ²]
- Positive Likelihood Ratio [LR⁺]
- Post-Test Probability
- Prediction intervals [PI]
- Predictive Modeling
- Predictor Variable
- Prevalence
- Primacy Effect
- Probability Density
- Probability Tree Diagram
- Probit
- Propensity Score Matching [PSM]
- Proportion Test
- P-value
q
- Quadratic Regression
- Qualitative Data
- Quantile
- Quantitative Data
- Quartic Function
r
- Random Sample
- Random Sampling
- Rational Function
- Ratio Test
- Rayleigh Distribution
- Reciprocal
- Regression analysis
- Regression coefficients
- Relative Error
- Relative Standard Deviation (RSD) [RSD]
- Reliability
- Residuals
- Response Variable
- ROC Curve
- Rolling Average
- Root Cause Analysis [RCA]
- R-squared
- Run Chart
s
- Sample
- Sample Size [n]
- Sample Variance [s²]
- Shapiro-Wilk Normality Test
- Significance level
- Sign Test
- Simple Linear Regression [SLR]
- Six Sigma
- Skewness
- Spearman’s Rank Correlation Coefficient
- Standard error of the regression
- Standardization
- Standard Normal Distribution
- Stationarity
- Statistics
- Stochastic
- Summation Symbol
- Supervised Learning
- Survival Analysis
t
- Test-Retest Reliability
- Theoretical Probability
- Third Quartile
- Total Quality Management [TQM]
- Triangular Distribution
- True Negative [TN]
- True Positive [TP]
- Tukey-Kramer Test
- Two-Sample t-Test
u
- Upper Quartile [Q3]
v
- Validity
- Volume of a Cone
w
- Wald Test
- Whole Numbers
- Wilcoxon Rank Sum Test
x
- X-Intercept
y
- Y-Intercept
