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 t-test

t-test for Single Means

Examples

Compare 2 independent groups

Interval

Independent t-test

t-test for Independent Samples

Examples

 

Ordinal

Wald-Wolfowitz Runs Test

Kolmogorov Smirnov Test

Mann-Whitney U Test

Nonparametric Statistics

Nonparametric Methods

Example

Compare 2 dependent groups

Interval

 

Dependent t-test

t-test 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

 

One-way ANOVA

Descriptive Statistics by Groups (Breakdown)

Example

Ordinal

 

Kruskal-Wallis 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

Kendall-tau

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