Distributions

Chapter 2 Distributions

This chapter introduces one of the most fundamental ideas in statistics, the distribution. We’ll start with frequency tables — which represent the values in a dataset and the number of times each of them appears — and use them to explore data from the National Survey of Family Growth (NSFG). We’ll also look for extreme or erroneous values, called outliers, and consider ways to handle them.

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Listing 2.0.1. Python Code

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from os.path import basename, exists


def download(url):
    filename = basename(url)
    if not exists(filename):
        from urllib.request import urlretrieve

        local, _ = urlretrieve(url, filename)
        print("Downloaded " + local)


download("https://github.com/AllenDowney/ThinkStats/raw/v3/nb/thinkstats.py")

Listing 2.0.2. Python Code

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try:
    import empiricaldist
except ImportError:
    %pip install empiricaldist

Listing 2.0.3. Python Code

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import numpy as np
import matplotlib.pyplot as plt
from thinkstats import decorate

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