Commonly Used Statistical Tests
With all of the different analyses available within Statistica, it might
be confusing to know where to begin. The following table gives you an
outline of some commonly used statistical tests for a specific situation.
Extensive information is given in Help about each of these tests and procedures.
In the last column you will find a link to an example in the Help where
you can find out how to perform the analysis.
Before using any statistical test, the procedure should be researched
to assure that it meets the needs of the study. Some tests make distributional
and other assumptions about the data that may or may not hold. It is important
to understand the analysis, hypotheses, statistical tests, and conclusions
that can be drawn before performing the analysis.
What I want to do 
Type of data
(Measurement
Scales) 
Statistical analysis/method 
Overview of analysis/method 
How can I do this in STATISTICA? 
Describe one group or set of data 
Interval 
Basic descriptive statistics 
Descriptive
Statistics 
Examples 
Ordinal 
Nonparametric statistics (e.g. median,
mode) 
Nonparametric
Statistics 
Examples 
Compare the mean of one group to a hypothesized population mean 
Interval 
Single sample ttest 
ttest
for Single Means 
Examples 
Compare 2 independent groups 
Interval 
Independent ttest 
ttest
for Independent Samples 
Examples

Ordinal 
WaldWolfowitz Runs Test
Kolmogorov Smirnov Test
MannWhitney U Test 
Nonparametric
Statistics
Nonparametric
Methods 
Example 
Compare 2 dependent groups 
Interval

Dependent ttest 
ttest
for Dependent Samples 
Examples

Ordinal

Sign test
Wilcoxon Matched Pairs test 
Nonparametric
Statistics
Notes
on Sign Test
Notes
on Wilcoxon Matched Pairs Test 
Example
 Sign Test
Example
 Wilcoxon Matched Pairs Test 
Compare 3 or more independent groups 
Interval

Oneway ANOVA 
Descriptive
Statistics by Groups (Breakdown) 
Example 
Ordinal

KruskalWallis ANOVA 
Nonparametric
Statistics
Nonparametric
Methods 
Example 
Compare 3 or more dependent groups 
Interval

Repeated measures ANOVA 
General
Linear Models 
Example 
Ordinal

Friedman ANOVA
Kendall Concordance 
Nonparametric
Statistics
Nonparametric
Methods 
Example 
Quantify relationship between 2 variables 
Interval 
Pearson product moment correlation 
Correlation
Introductory
Simple
Linear Correlation 
Example 
Ordinal 
Spearman rank correlation
Gamma
Kendalltau 
Nonparametric
Statistics
Nonparametric
Correlations 
Example 
Predict the value of a numeric variable from a set of predictors 
Interval 
Linear regression
Decision trees
Neural networks 
Linear regression  Multiple
Regression, GRM
Decision trees  GC&RT,
Interactive
Trees, Boosted
Trees, Predictor
Importance.
STATISTICA Automated Neural Networks
(SANN)

Examples for linear regression  Multiple
Regression, GRM
Examples for decision trees  GC&RT,
Interactive
Trees, Boosted
Trees
Examples  SANN 
Predict the nominal level of a categorical variable with 2 or more levels
from a set of predictors 
Nominal 
Logistic regression
Discriminant analysis
Decision trees
Neural networks 
Logit
regression
Discriminant
analysis
Decision trees  GC&RT,
Interactive
Trees, Boosted
Trees, Predictor
Importance.
STATISTICA
Automated Neural Networks (SANN) 
Examples
 Probit and Logit Models
Example
 Discriminant analysis
Examples for Decision Trees  GC&RT,
Interactive
Trees, Boosted
Trees
Examples  SANN
