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Statistics Lecture

Mark Twain popularized the saying “There are lies, damn lies, and statistics.” Many people share his disdain either because they don’t appreciate statistical data, become intimidated by statistical calculations, or are in disagreement with the conclusions of statistical studies.

Admittedly, statistics are routinely used and misused to influence thought and opinion. However, they have an important place in scientific and social research. Once you understand the foundational principles, you will have a unique skill to “look behind the numbers”, and properly assess valid and invalid statistical studies.

The following six modules take you from basic to more specialized understanding of statistical terminology, principles and ultimately methodology.


Modules 1 and 2 detail the basics of statistics and should be easily understood by most viewers. Module 2 is especially well worth viewing as it describes in layman’s terms the most common errors and misunderstandings in statistics. The topics covered include:

  • Dispelling the Myths of Statistics
  • The Biggest Mistakes and Assumptions Associated with Statistics
  • The Importance of Normalized Data and Reference Frame
  • Cherry-Picking, Ego-centric Faulty Logic, and Much More…


Module 3 covers important terminology used in statistical study. As with the first two modules, it reviews concepts that you may have learned in high school or collegiate study including:

  • Mean, Median and Mode
  • Range and Variance
  • Normal Distributions, Correlations and R-value

Modules 4 through 6 discuss research methodologies in greater depth and detail. The content is more specific, and will give insight into research statistical study. Topics covered include:

  • Null Hypothesis and P-Value
  • Type I and Type II Errors
  • T-tests and Analysis of Variance (ANOVA)