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Statistica Introductory Guide
Introduction
Statistica is a spreadsheet based statistical analysis software package. It provides users
with a graphical interface which can be useful for people not familiar with programming.
It provides the tools to perform simple analytics such as t-tests, regression and ANOVA
as well as more advanced techniques like cluster analysis and simulations. It also allows
us to create two and three dimensional graphical displays of our data. In this guide I am
focusing on the basic statistical techniques that can be performed in Statistica.
Creating Graphs
Scatter Plots:
Click on Graphs at the top of the spreadsheet. Select 2-D Scatterlpot. This brings up the
window shown below.
Highlight the two variables that you want to appear in the scatterplot and click OK.
Double clicking on the graph brings up a list of options that can be used to customize
your graph.
Histograms:
Click on the Statistics tab at the top of the screen Select Basic Statistics then tables.
This opens up the following menu:
Select Frequency Tables. This brings up the menu shown below. Click on Variables
and Select the variable you want to graph. Then click Histogram.
Regression:
Click on the Statistics tab. Select Multiple Regression. This brings up a box similar to
the one below:
Click on Variables and select the variables to be included in the model. Click OK.
This brings up a box which gives a quick summary of the regression model. For a more
detailed summary including parameter estimates click Summary: Regression Results.
This gives us a table similar to the one below:
In order to check model assumptions, click the Residuals/assumptions/prediction tab.
This gives us the option to save the residuals in our original data table as well as obtain
various residual plots. Once we have saved our residuals, we could obtain a QQ-Plot by
clicking on the Graphs tab, selecting 2D Graphs and then selecting Normal probability
plots. Select Residuals as the variable to be plotted.
ANOVA:
Select the Statistics Tab, Select Breakdown and one-way ANOVA, click OK. Then select
the appropriate response and explanatory variables. click OK. This provides you with the
output seen below:
Clicking on the Analysis of Variance button will provide you with an ANOVA table.
Clicking on the Post Hoc tab, seen below, will give us options to test contrasts and
evaluate differences among the means.
Logistic Regression:
Click on the Statistics tab, select Advanced Linear/ Non-Linear Models. Under the
Quick tab, select Logit Model, click OK. Under the Quick tab click on Variables and
select the appropriate response and explanatory variables, click OK. Click on Response
Codes and select All. Click OK. Under the Summary tab click Summary of all Effects
to obtain a model summary.
References:
Ray Hoare. An Introduction to Statistica. http://www.median.co.nz/statistica/. 5-1-2010.
UCLA Academic Technology Service. Statistica Class Notes-Analyzing Data.
http://www.ats.ucla.edu/stat/Statistica/notes/analyze.htm. 5-1-2010