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Statistical Analysis – Part 2

Statistical Analysis – Part 2. Yale Braunstein School of Information. Measures of Central Tendency. Distinguish between numerical & categorical data Understand the differences between the different measures of “the average” Mean Median (middle value) Mode (most common value)

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Statistical Analysis – Part 2

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  1. Statistical Analysis – Part 2 Yale Braunstein School of Information

  2. Measures of Central Tendency • Distinguish between numerical & categorical data • Understand the differences between the different measures of “the average” • Mean • Median (middle value) • Mode (most common value) Example: David Lazarus on PG&E bonus payments,SF Gate, March 12, 2003. • Consider the dispersion around the center

  3. Demos of Excel & SPSS • Sample data sets available from the Resources page • Student height & weight • Oakland voter profile • U.S. colleges (with detailed comparison of 4 private colleges) • There are also links to: • Comparison of Excel & SPSS • MS for “Pivot Table Reports 101” • SPSS “flow of logic” handout • SPSS FAQ

  4. Specific Topics Covered • Measures of central tendency (various forms of “averages”) • Frequencies • Histograms • Cross-tabulations • Value labels • Recoding & transforming data • Missing data or observations • Documenting data files, transformations, procedures, etc. [The last 5 are some of the strengths of SPSS]

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