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Data Analysis with R, Second Edition

You're reading from   Data Analysis with R, Second Edition A comprehensive guide to manipulating, analyzing, and visualizing data in R

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788393720
Length 570 pages
Edition 2nd Edition
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Author (1):
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Tony Fischetti Tony Fischetti
Author Profile Icon Tony Fischetti
Tony Fischetti
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Table of Contents (19) Chapters Close

Preface 1. RefresheR FREE CHAPTER 2. The Shape of Data 3. Describing Relationships 4. Probability 5. Using Data To Reason About The World 6. Testing Hypotheses 7. Bayesian Methods 8. The Bootstrap 9. Predicting Continuous Variables 10. Predicting Categorical Variables 11. Predicting Changes with Time 12. Sources of Data 13. Dealing with Missing Data 14. Dealing with Messy Data 15. Dealing with Large Data 16. Working with Popular R Packages 17. Reproducibility and Best Practices 18. Other Books You May Enjoy

The normal distribution

Do you remember in Chapter 2The Shape of Data, when we described the normal distribution and how ubiquitous it is? The behavior of many random variables in real life is very well described by a normal distribution with certain parameters.

The two parameters that uniquely specify a normal distribution are µ (mu) and σ (sigma). µ, the mean, describes where the distribution's peak is located and σ, the standard deviation, describes how wide or narrow the distribution is.

Figure 4.3: Normal distributions with different parameters

The distribution of heights of American females is approximately normally distributed with parameters µ= 65 inches and σ= 3.5 inches:

Figure 4.4: Normal distributions with different parameters

With this information, we can easily answer questions about how probable it is to choose, at...

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