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Java Data Analysis

You're reading from   Java Data Analysis Data mining, big data analysis, NoSQL, and data visualization

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787285651
Length 412 pages
Edition 1st Edition
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Concepts
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Author (1):
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John R. Hubbard John R. Hubbard
Author Profile Icon John R. Hubbard
John R. Hubbard
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Data Analysis 2. Data Preprocessing FREE CHAPTER 3. Data Visualization 4. Statistics 5. Relational Databases 6. Regression Analysis 7. Classification Analysis 8. Cluster Analysis 9. Recommender Systems 10. NoSQL Databases 11. Big Data Analysis with Java A. Java Tools Index

The binomial distribution


The binomial distribution is defined by this formula for its PDF:

, for x = 0, 1, …, n

Here, n and p are parameters: n must be a positive integer and 0 ≤ p ≤ 1. The symbol is called a binomial coefficient. It can be computed from the following formula:

The exclamation point (!) stands for factorial, which means to multiply the integer by all its preceding positive integers. For example, five factorial is 5! = 5·4·3·2·1 = 120.

We encountered the binomial distribution in Chapter 3, Data Visualization, with the coin-flipping example. Here's a similar example. Suppose you have a bottle with five identical, balanced, tetrahedral dice. Each die has one face painted red and the other three faces painted green, as shown in the following figure:

Figure 4-7. Tetrahedral Die

The experiment is to shake the flat-bottomed bottle and observe how the five dice land. Let X be the number of dice that land with a red face down. This random variable has a binomial distribution with n =...

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