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Understanding Measures of Central Tendency in Statistical Analysis

This course focuses on fundamental statistical concepts, particularly measures of central tendency, including the mean, median, and mode. Participants will distinguish between numerical and categorical data, gain insights into the dispersion around a center, and engage with practical demonstrations using Excel and SPSS. Sample data sets, including student height and weight, voter profiles, and comparisons of U.S. colleges, will be explored. Additional resources cover data documentation, frequency analysis, histograms, cross-tabulations, and handling missing data.

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Understanding Measures of Central Tendency in Statistical Analysis

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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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