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The Statistics and Calculus with Python Workshop
book

The Statistics and Calculus with Python Workshop

by Peter Farrell, Alvaro Fuentes, Ajinkya Sudhir Kolhe, Quan Nguyen, Alexander Joseph Sarver, Marios Tsatsos, Amit Chaurasia, Rohan Chikorde, Sanjin Dedic, Tim Hoolihan, Ravi Ranjan Prasad Karn, Alberto Manzini
August 2020
Beginner to intermediate content levelBeginner to intermediate
740 pages
13h 41m
English
Packt Publishing
Content preview from The Statistics and Calculus with Python Workshop

8. Foundational Probability Concepts and Their Applications

Overview

By the end of this chapter, you will be familiar with basic and foundational concepts in probability theory. You'll learn how to use NumPy and SciPy modules to perform simulations and solve problems by calculating probabilities using simulations. This chapter also covers how to calculate the probabilities of events using simulations and theoretical probability distributions. Along with this, we'll conceptually define and use random variables included in the scipy.stats module. We will also understand the main characteristics of the normal distribution and calculate probabilities by computing the area under the curve of the probability distribution.

Introduction

In the ...

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Publisher Resources

ISBN: 9781800209763Supplemental Content