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 can 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 |