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The Statistics and Calculus with Python Workshop

You're reading from   The Statistics and Calculus with Python Workshop A comprehensive introduction to mathematics in Python for artificial intelligence applications

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781800209763
Length 740 pages
Edition 1st Edition
Languages
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Authors (6):
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Ajinkya Sudhir Kolhe Ajinkya Sudhir Kolhe
Author Profile Icon Ajinkya Sudhir Kolhe
Ajinkya Sudhir Kolhe
Quan Nguyen Quan Nguyen
Author Profile Icon Quan Nguyen
Quan Nguyen
Marios Tsatsos Marios Tsatsos
Author Profile Icon Marios Tsatsos
Marios Tsatsos
Alexander Joseph Sarver Alexander Joseph Sarver
Author Profile Icon Alexander Joseph Sarver
Alexander Joseph Sarver
Peter Farrell Peter Farrell
Author Profile Icon Peter Farrell
Peter Farrell
Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
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Table of Contents (14) Chapters Close

Preface
1. Fundamentals of Python 2. Python's Main Tools for Statistics FREE CHAPTER 3. Python's Statistical Toolbox 4. Functions and Algebra with Python 5. More Mathematics with Python 6. Matrices and Markov Chains with Python 7. Doing Basic Statistics with Python 8. Foundational Probability Concepts and Their Applications 9. Intermediate Statistics with Python 10. Foundational Calculus with Python 11. More Calculus with Python 12. Intermediate Calculus with Python Appendix

Law of Large Numbers

There are many schemes and systems that people claim can make you a big winner at the casino. But what these people fail to see is the reason why casinos are lucrative money-makers; the odds are always on the casino's side, ensuring that the casino will come out ahead and always win (in the long run). What the casinos have come to depend on is something called the law of large numbers.

Before we figure out how the casinos always make themselves winners in the long run, we need to define several terms. The first is sample average, or sample mean. The sample mean is what everybody thinks of when they think of the average. You calculate the sample mean by adding up the results and dividing by the number of results. Let's say we flip a coin 10 times and it comes up heads 7 times. We calculate the sample mean, or the average number of heads per flip, like so:

Figure 9.1: Formula for sample mean

The sample average is typically denoted...

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