The list below represents the statistical terminology used to index statistical techniques illustrated in the tables and figures. You can search for a specific technique by using the field code for the field Object Statistical Terms, Q8. This is most easily done in the Advanced Search, under the Tables & Figures tab. First, enter the term exactly as it is displayed in the list below, e.g.:

Analysis of Variance (ANOVA)

or enter a unique word from a term, e.g.:

ANOVA

Then select the field name 'Object Statistical Terms, Q8= ' from the drop-list of field names to the right of the query boxes.

You can also search specifically in Quick Search (and Command) mode, by entering the field code first, followed by the exact phrase or a unique word, e.g.:

q8="Analysis of Variance (ANOVA)"

or

q8=ANOVA

Statistical Terms

Affine transformation

Analysis of Covariance (ANCOVA)

Analysis of Molecular Variance

Analysis of Variance (ANOVA)

Arithmetic Mean

AutoRegressive Integrated Moving Average (ARIMA)

Bartlett's Test

Bayes' Rule

Binomial Coefficient

Binomial Distribution

Bivariate Spectral Analysis

Bonferroni Confidence Limits

Bonferroni Procedure

Boolean Factor Analysis

Bootstrap estimate

Box-Cox Procedure

Box-Jenkins Time Series Analysis

Breakdown Point

Breslow Test

Brookmeyer-Crowley Confidence Interval

Brown-Forsythe and Welch statistics

Canonical Correlation Analysis

Central Limit Theorem

Chebychev's Inequality

Chi-square Statistic

Chi-square Test

Cluster Analysis

Coefficient of Determination

Confidence Interval

Confounding Factor

Cook's Distance

Correlation Coefficient

Correlation Matrix

Correspondence Analysis

Cox Proportional Model

Cramer's V

Cronbach's Alpha

Cumulative Probability Distribution Function (cdf)

Discriminant Function Analysis

Double-Blind Experiment

Duncan Multiple Range Test

Dunnett's Test

Dunn's Test

Durbin-Watson Statistic

Ecological Correlation

Empirical Law of Averages

Endpoint Convention

Factor Analysis

Finite Population Correction

Fisher's Exact Test

Fractal Analysis

Frequency Histogram

Friedman Two-way Analysis of Variance

F-Test

Furnival-Wilson Algorithm

Game Theory

Gauss-Newton Algorithm

Geometric Distribution

Geometric Mean

Greenhouse-Geisser Adjustment

Heteroscedasticity

Homoscedasticity

Hotelling Trace Coefficient

Huynh-Feldt Adjustment

Hypergeometric Distribution

Indicator Random Variable

Inter-quartile Range (IQR)

Jackknife Validation Procedure

Joint Probability Distribution

Kappa Test

Kendall Rank Correlation

Kendall's Coefficient of Concordance

K-means Clustering

Kolmogorov-Smirnov Two-sample Test

Kruskal-Wallis One-way Analysis of Variance

Kurtosis

Law of Averages

Law of Large Numbers

Least squares regression

Levene's Test

Likelihood Ratio

Linear Discriminant Analysis

Linear Regression

Lower Quartile (LQ)

Mahalanobis D² Test

Mallow's Cp Statistic

Mann-Whitney Rank Sum Test

Mantel-Cox Test

Mantel-Haenszel Test

Markov's Inequality

Maximum Likelihood Estimate (MLE)

McNemar's Test

Mean Squared Error (MSE)

Minimax Strategy

Monte Carlo Trial

Multimodal Distribution

Multinomial Distribution

Multiple Correlation

Multiple Linear Regression

Multivariate Analysis of Variance (MANOVA)

Newman-Keuls Multiple Range Test

Nonlinear Regression

Nonparametric Analysis

Nonparametric Tests

Normal Distribution

Null Hypothesis

One-tailed Test

Ordinal Variable

Partial Correlation Coefficient

Payoff Matrix

Peto-prentice Test

Pillai's Trace Test

Point of Averages

Poisson Distribution

Polychotomous Logistic Regression

Polynomial Regression

Principal Components Analysis

Probability Density Function

Probability Distribution

Probability Histogram

P-value

Quadratic Discriminant Function Analysis

Random Error

Random Sample

Regression

Regression Coefficient

Regression Fallacy

Regression Toward the Mean, Regression Effect

Residual Plot

Ridge Regression

Root-mean-square (RMS)

Root-mean-square error (RMSE)

Roy's Maximum Root

Sample Variance Estimate

Sampling Distribution

Scheffe Procedure

Secular Trend

Serial Correlation

Sign Test

Simple Linear Regression

Simple Random Sample

Simpson's Paradox

Skewed Distribution

Spearman Rank Correlation

Spectral Analysis

Square-Root Law

Standard Deviation

Standard Error

Standard Normal Curve

Stepwise Discriminant Analysis

Stepwise Linear Regression

Studentized Score

Student's t Curve

Tarone-Ware Test

Time Series Analysis

t-Test

Tukey Procedure

Two-Tailed Test

Type I and Type II errors

Univariate Spectral Analysis

Wald Test

Wilk's lambda Test

Woolf-Haldane Analysis

X2-value

Yule's Q

Z Score

Z Test