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How To Approximate the Results of Your Sample Set (Empirical Rule vs. Chebyshev’s Formula)
May 11, 2022, 8:03 p.m. | Ibrahim Israfilov
Towards AI - Medium pub.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 …
analytics business-analysis data analysis data science set statistics
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