Basic Statistics

Example 1: Descriptive Statistics, t-Tests, and Correlations
This example is based on the Adstudy.sta example data file that is included with Statistica. The data file contains 25 variables and 50 cases. These (fictitious) data were collected in an advertising study where male and female respondents evaluated two advertisements. Respondents' gender was coded in variable 1 (Gender: 1=MALE, 2=FEMALE). Each respondent was randomly assigned to view one of the two ads (Advert: 1=COKE®, 2=PEPSI®). They were then asked to rate the appeal of the respective ad on 23 different scales (Measure01 to Measure23). On each of these scales, the respondents could give answers between 0 and 9.
Example 2: Breakdown and One-Way ANOVA
Example 3: Frequency Tables
Overview. This example is based on a (fictitious) data set summarizing the results of an opinion survey. Suppose you own several sports bars in your city. In each bar you have two or three big-screen televisions on which you show various sporting events. Because you cannot show all possible sporting events that are simultaneously available on TV, you want to learn in which sports your customers are most interested.
Example 4: Stub-and-Banner Tables
Example 5: Crosstabulation Tables
Example 6: Tabulating Multiple Responses and Dichotomies
Example 7: Detecting Outliers
Example 8: Visually Comparing Variables
This example is based on the data file Adstudy.sta. The data is an advertising effectiveness study.
Example 9: Using Contingency Tables to Compute Chi-Square Tests for Independence
Overview
Example 10: Chi-Square Test for Independence
The goal of this example is to determine the relationship between two categorical variables. We want to know if these two categorical variables are independent. If not, we will further explore the relationship between them.

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