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IBM SPSS Statistics Base Features

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Basic Analysis Tools: Column proportions comparison shows significant differences between rows and columns
Percentages can be calculated across rows or columns
Residuals provide unstandardized, standardized, and adjusted standardized values
Noninteger weights allow fractional cell counts with optional rounding
Statistical Analysis: Summarize procedure calculates subgroup statistics for categorical variables
Means procedure compares means between dependent and independent variables
OLAP Cubes creates separate layers for continuous summary variables
T-tests available for independent, paired, and one-sample comparisons
Data Requirements: Grouping variables can be numeric or string
Data should be in single column with quantitative variables
Statistical tests require normal distribution assumptions
Missing values can be handled with custom formatting options