Statistics Refresher-Summary of Elementary Statistics

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In this course we will review the principles of statistics and survey a variety of common analysis methods. Readers and consumers of statistics want to understand what analyses were done, why they were chosen, and what they mean. Statistical practitioners will receive a broad methodological refresher without getting bogged down in detailed mathematics or computing. We will also discuss the intent, applicability and meaning of various analyses and note potential pitfalls in statistical analysis and interpretation. Specific topics include: basic statistical principles, hypothesis testing, confidence intervals, linear regression, logistic regression, contingency table analysis, multivariate methods, and statistical graphics.

Intended Audience:

This course is intended for professionals who may have completed some basic statistics training, but who have not used the principles of statistics for some time, or who would like to review elementary statistical methodology.

Prerequisites:

Some basic history with statistics and statistical methods is helpful.

Course Materials:

Attendees will receive a PDF booklet containing workshop proceedings and reference material.

Course Topics

  • Basic statistical principles
  • Hypothesis testing
  • Confidence intervals
  • Linear regression
  • Logistic regression
  • Contingency table analysis
  • Multivariate methods
  • Statistical graphics

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