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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

Conditional probability


A conditional probability is one that is computed under the assumption that some related event is known to have occurred. For example, in the marble experiment, if we know that the first marble drawn was red, then the probability that the second marble is green is 4/5 = 80%. This is a conditional probability, the condition being that the first marble was red. It is written as:

(The vertical bar symbol | is read as "given").

On the other hand, the (unconditional) probability that the second marble is green is:

It should seem sensible that the probability that the second marble is green is greater (80%) after having removed a red marble. It should also seem sensible that the unconditional probability of green on the second (67%) is the same as the probability that the first is green (4/6).

The general formula for the conditional probability of an event F, given an event E, is

The symbolism E ∩ F means "E and F".

To apply this formula to our marbles example, let E be the...

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