Web: https://pub.towardsai.net/how-to-approximate-the-results-of-your-sample-set-empirical-rule-vs-chebyshevs-formula-92f1a1dac0b7?source=rss----98111c9905da---4

May 11, 2022, 8:03 p.m. | Ibrahim Israfilov

Towards AI - Medium towardsai.net

The empirical rule is a powerful instrument to capture the distribution of your observations within the dataset. However, it’s not the only way to do it, particularly when your dataset is not normally distributed.

Index:
1. Problem Description
2. Review Statistics
3. Empirical Rule
4. Chebyshev Theorem

Problem Description

Imagine that you have 60 students in math class and you have monitored the timing of how much it takes students to finish an exercise.
You get the next results. Average …

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