Module 7: Lesson 3¶

Introduction to Statistical Issues¶

This lesson explores statistical issues that can arise when exploring multi-dimensional data.

Objectives¶

By the end of this lesson, you will be able to

articulate the basic issues around several statistical issues, such as Simpson's paradox, or the base rate fallacy,
understand how to identify and mitigate statistical issues that might affect data analytics, and
articulate the difference between correlation and causation.

Time Estimate¶

Approximately 1 hour.

Activities¶

Video: Watch the Introduction to Statistical Issues video, which will demonstrate some of the concerns around statistical issues that can affect analytics.

Reading: Read about paradoxes of probability and how to avoid them when exploring multi-dimensional data.

Reading: Read about statistical misinterpretation and how to prevent this from affecting results when exploring multi-dimensional data.

Explore the Spurious Correlations website to better understand the phrase correlation does not imply causation.

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