You're reading from Building Statistical Models in Python

Product typeBook

Published inAug 2023

Reading LevelIntermediate

PublisherPackt

ISBN-139781804614280

Edition1st Edition

Languages

Python

Concepts

Statistics

Authors (3):

Huy Hoang Nguyen

Paul N Adams

Stuart J Miller

View More author details

Measuring and describing distributions

The distributions of data found in the wild come in many shapes and sizes. This section will discuss how distributions are measured and which measurements apply to the four types of data. These measurements will provide methods to compare and contrast different distributions. The measurements discussed in this section can be broken into the following categories:

Central tendency
Variability
Shape

These measurements are called descriptive statistics. The descriptive statistics discussed in this section are commonly used in statistical summaries of data.

Measuring central tendency

There are three types of measurement of central tendency:

Mode
Median
Mean

Let’s discuss each one of them.

Mode

The first measurement of central tendency we will discuss is the mode. The mode of a dataset is simply the most commonly occurring instance. Using the machines in the factory as an example (see...

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Building Statistical Models in Python

Published in: Aug 2023Publisher: PacktISBN-13: 9781804614280

Authors (3)

Huy Hoang Nguyen

Huy Hoang Nguyen is a Mathematician and a Data Scientist with far-ranging experience, championing advanced mathematics and strategic leadership, and applied machine learning research. He holds a Master's in Data Science and a PhD in Mathematics. His previous work was related to Partial Differential Equations, Functional Analysis and their applications in Fluid Mechanics. He transitioned from academia to the healthcare industry and has performed different Data Science projects from traditional Machine Learning to Deep Learning.
Read more about Huy Hoang Nguyen

Paul N Adams

Paul Adams is a Data Scientist with a background primarily in the healthcare industry. Paul applies statistics and machine learning in multiple areas of industry, focusing on projects in process engineering, process improvement, metrics and business rules development, anomaly detection, forecasting, clustering and classification. Paul holds a Master of Science in Data Science from Southern Methodist University.
Read more about Paul N Adams

Stuart J Miller

Stuart Miller is a Machine Learning Engineer with degrees in Data Science, Electrical Engineering, and Engineering Physics. Stuart has worked at several Fortune 500 companies, including Texas Instruments and StateFarm, where he built software that utilized statistical and machine learning techniques. Stuart is currently an engineer at Toyota Connected helping to build a more modern cockpit experience for drivers using machine learning.
Read more about Stuart J Miller

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You're reading from Building Statistical Models in Python

Measuring and describing distributions

Measuring central tendency

Mode

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Authors (3)

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