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Discrete Random Variables – Variance (with Excel) and Shape

In this video, Adrian explains how we use variance and standard deviation to describe the spread of a random variable with Excel.

Spread for Discrete Random Variables

Spread of a random variable is also important to know to understand how different outcomes are likely to be from our expectation.

To measure this spread, we re-introduce variance and standard deviation. Our equations for calculating them have changed a little from before, but the principles are the same. While skewness might still be important, we can assess this visually as shown by Adrian.

We now have tools for calculating expectation and variance for discrete random variables, with a bit of help from Excel. We can also inspect shape by considering the skewness of our data visually. Now that we have these, we can move onto our final practical topic for this course, where we use these measures to make a business decision involving random variables.

Before we move on let’s check in.

Is there anything you’re struggling with, or any terms you don’t understand? Try and help other learners with their questions if you can.
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Data Analytics for Decision Making: An Introduction to Using Excel

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