# 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 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 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. 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. Examples - Probit and Logit Models Example - Discriminant analysis Examples for Decision Trees - GC&RT, Interactive Trees, Boosted Trees Examples - SANN