# Examples of correlation and causation in statistics

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*2020-02-27 07:36*

Causation in Statistics In statistics, correlation can be quantified and given a number where zero is no correlation and 1 is perfect correlation. Perfect correlation exists andCorrelation vs. Causation: An Example. Viewing real world statistics skeptically. Its surprising the insights waiting to be discovered deep within the mass of emails we all receive. While mindlessly browsing my inbox, I briefly scanned a message from my Universitys Study Abroad office with the following info about the benefits of examples of correlation and causation in statistics

Let's clear something up, correlation isn't causation, but it's important! There's quite a bit of confusion about the meanings of statistical terms like correlation, association, and causality.

In this lesson, you will learn about causation. In statistics, causation means that one thing will cause the other, which is why it is also referred to as cause and effect. Correlation is a statistical measure (expressed as a number) that describes the size and direction of a relationship between two or more variables. A correlation between variables, however, does not automatically mean that the change in one variable is the cause**examples of correlation and causation in statistics** Correlation indicates a relation which is usually misunderstood. Just an oversimplified example, suppose that there is a high correlation between being diagnosed with the lung cancer and carrying a lighter in the pocket. While lighter has nothing to do cause cancer, there