HOME Module List Site Index About This Site Glossary Resources Innovative Technology Center UT Statistics Courses
Using SAS Choose Design ANOVA Compare Means Regression Examples
* * *  Glossary  * * *

ANOVA
Apparent outlier
Arithmetic mean
Autocorrelation
Average
Back transformation
Balanced
Block
Boxplot
Categorical data
CLASS
Classification
Clustering
Coefficient of variation
Comparisonwise error control
Completely Randomized Design
Contingency table
Confidence interval
Contrasts
Correlation
Covariance
Covariate
Covariate model
Cp
Cross-classified
Crossover
D
danda macro defined
danda.sas (obtain correct version)
Data
DATA
DATA=
Dataset
DATAFILE
DATALINES
Degrees of freedom
Dependent variable
Discriminant analysis
Dummy regression
Duncan
Equal variance
Error term
Estimation
Experimental design
Experimental unit
Experimentwise error control
F value
F test
Factor
Factor analysis
Factorial
Fisher's LSD
Fisher's Exact test
Fixed effects
Fixed model
Geometric means
Goodness-of-fit
IMPORT
%INCLUDE
Incomplete block design
Independent variable
INPUT
Influential point

Interaction
Interquarter range
Interval data
Intercept
Kenward-Rogers
Kurtosis
Lack-of-Fit
Latin squares design
Least significant difference
Least squares means
Level
Levene Test
Linear contrasts
Linear regression
Log transformation
Logistic regression
LSD
Macro
Main effect
Mean
Mean separation
Median
Mixed Model
Missing data
Module
Mode
Model
Model validation
%MMAOV
MSLSD
Multicollinearity
Multiple comparision
Multiple regression
Multivariate statistics
Nested
Nominal data
Non-parametric
None
Nonlinear models
Normal distribution
Normality
Null hypothesis
Option
Observation
Ordinal data
Orthogonal
Orthogonal polynomials
OUT
Outlier
Output
Parameter
Partial
Pearson Correlation
Population
Power
Principle components
P Values
Polynomial regression
Predicted value
Pr>F
PRINT

PROC
Program
Pure error
Quadratic
RANDOM
Random effects
Randomized block design
Range
Ranks
Rank transformation
Regression
Regression variable
Repeated measures
REPLACE
Replication
Replicates
Residual
Residual Error
R-Square
Ratio data
REML
RUN
SAS
Sampling
Shapiro-Wilk
Significance level
Significance probability
Simple regression
Skewness
Slice variable
Slope
Spatial statistics
Spearman Correlation
Specialized features
Split-Plot
Split-Split Plot
Standard error
Standard deviation
Statement
Statistic
Statistics
Stem-Leaf plot
Strip-Plot
Sub-Plot
Survey sampling
Survival analysis
Sum of squares
Switchback
Transformation
TRANSTYPE
Treatment
Treatment arrangement
Treatment combination
Treatment design
Tukey's HSD
Tukey Single df Test
Type I error
Type II error
Validation
Variable
Variable selection
Variance
W
Whole Plot

 

Home | Contact us | Module list & summary | Glossary/Terms | About this site | Stats courses | Links | Index