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Data Science Bookcamp
book

Data Science Bookcamp

by Leonard Apeltsin
November 2021
Beginner to intermediate
704 pages
20h 16m
English
Manning Publications
Audiobook available
Content preview from Data Science Bookcamp

6 Making predictions using the central limit theorem and SciPy

This section covers

  • Analyzing the normal curve using the SciPy library
  • Predicting mean and variance using the central limit theorem
  • Predicting population properties using the central limit theorem

The normal distribution is a bell-shaped curve that we introduced in section 3. The curve arises naturally from random data sampling due to the central limit theorem. Previously, we noted how, according to that theorem, repeatedly sampled frequencies take the shape of a normal curve. Furthermore, the theorem predicts a narrowing of that curve as the size of each frequency sample goes up. In other words, the distribution’s standard deviation should decrease as the sampling size increases. ...

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Publisher Resources

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