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Statistics and Probability Theory

A Posteriori

A Priori

Accuracy

Adjusted R-Squared

Aggregate

Aggregated

Alternative Hypothesis

Analysis of Variance (ANOVA)

Approximation

Arithmetic Average

Arithmetic Mean

Artificial

Attributes Inspection

Autocorrelation

Average

Bell-Shaped

Bias

Biased

Biased Estimator

Bin

Binomial Distribution

Biserial Correlation

Bivariate

Bivariate Probability Distribution

Box Cox Transformation

Central Limit Theorem (CLT)

Chance Causes

Characteristic Function

Checkout

Chi-Square Distribution

Cluster Sampling

Coefficient of Loss of Service

Coefficient of Variation

Commonality

Complete Enumeration

Complex

Composite Hypothesis

Conditional

Conditional Density Function

Conditional Distribution

Conditional Expectation

Conditional Probability

Cone

Confidence

Confidence Coefficient

Confidence Interval

Confidence Interval Estimation

Confidence Level

Confidence Limit

Consistent Estimator

Contingencies

Contingency Table

Correlation

Correlation Coefficient

Covariance

Cumulative Distribution Function, F(X) CDF

Data Mining

Decision Function

Defect

Degree of Freedom

Dependent Variable

Descriptive Statistics

Design of Experiments

Designated Imperfections

Dimension Reduction

Dimensionality Reduction

Distribution-Free Method

Dummy Variable

Effect Size

Effective Estimate

Empirical

Endogenous

Error Mean-Square

Error Sum of Squares

Estimation

Event

Exogenous

Expected

Expected Loss

Expected Value

Experiment

Experimental Design

Exponential Distribution

Exponential Smoothing

Factor

Factor Analysis

Factor Loadings

False Negative

False Positive

Generating Function

Goodness of Fit Test

Heterogeneity

Heterogeneous

Heteroskedasticity

Histogram

Holt-Winters Forecasting

Homoskedasticity

Hypothesis

Hypothesis Testing

Identical

Implicit

Importance Sampling

Independent and Identically Distributed (iid)

Independent Equations

Independent Sample t-Test

Independent Trials

Independent Variable

Inferential Statistics

Inspection

Intercept

Interquartile Range

Joint

Joint Cumulative Distribution

Joint Density Function

Joint Probability Distribution

Kendall Rank Correlation

Kurtosis

Lag

Lasso Regression

Law of Large Numbers (LLN)

Least Squares Estimation

Left-Skewed

Linear Estimator

Logarithmic Transformation

Loss Function

Loss Table

Lot Tolerance Percent Defective (LTPD)

Lower Bound

Lower Confidence Limit

Maximum Likelihood Estimation

McFadden’s Pseudo-R-Squared

Mean

Median

Memoriless Property

Method of Ordinary Least Squares

Mixture Distribution

Mode

Moment Generating Function

Monte Carlo Method

Moving Average

Multiple Regression

Naive Method

Negative-Skewed

Normal Distribution

Null Event

Null Hypothesis

Observation

Observed Value

One-Sample Sign Test

One-Sample t-Test

Order Statistics

Outcome

Outlier

P-value

Paired Sample t-Test

Parameter

PCA Regression

Percentile

Point Distribution

Point Estimation

Point Process

Poisson Distribution

Polynomial Regression

Population

Positive-Skewed

Possion Regression

Posterior

Posterior Distribution

Postulate

Power Law

Power Transformation

Precision

Predicted

Predictor Variable

Prior Distribution

Probabilistic

Probability

Probability Bin

Probability Density Function (PDF)

Probability Distribution

Probability Generation Function

Probability Integral Transform

Probability Integral Transformation

Probability Mass Function (PMF)

Probability Paper

Problem

Problem Description

Producer’s Risk

Qualitative Data

Quantitative Data

Quartile

R-Squared

Random

Random Variable

Random Walk

Randomization

Range

Regression

Reliability

Residual

Residual Life

Residual Sum of Squares

Ridge

Ridge Regression

Right-Skewed

Risk

Risk Analysis

Risk Averse

Risk Function

Risk Neutral

Risk Premium

Risk Prone

Rotation

Sample

Sample Covariance

Sample Size

Sample Space

Sampling

Sampling Error

Scree Plot

Sequential Sampling

Significance Level

Significance Testing

Simple Hypothesis

Skewness

Slope

Smoothing

Space

Spearman Rank Correlation

Standard Deviation

Standard Error

Statistic

Statistical Quality Control

Stratified Random Sampling

Stratum

Structural Equation Models

Student’s t-Distribution

Subset

Sure Event

T-Test

Tail Probability

Time Series

Tolerance

Tree

Trial and Error Method

Triangular Distribution

True Negative

True Positive

Type I Error

Type II Error

Unbiased

Uniform Distribution

Univariate

Variables vs Attribute Data

Variance

Variate

Variation

Weight

Wilcoxon Signed Rank Test

Z-Score

Z-Test

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