Think Stats 1st Edition by Allen B. Downey – Ebook PDF Instant Download/Delivery: 1449307116, 9781449307110
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Product details:
ISBN 10: 1449307116
ISBN 13: 9781449307110
Author: Allen B. Downey
Think Stats 1st Edition: If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You’ll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you’ll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data
Think Stats 1st Edition Table of contents:
-
Probability
- Rules of probability
- Monty Hall
- Poincaré
- Another rule of probability
- Binomial distribution
- Streaks and hot spots
- Bayes’s theorem
- Glossary
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Chapter 6. Operations on distributions
- Skewness
- Random variables
- PDFs
- Convolution
- Why normal?
- Central limit theorem
- The distribution framework
- Glossary
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Chapter 7. Hypothesis testing
- Testing a difference in means
- Choosing a threshold
- Defining the effect
- Interpreting the result
- Cross-validation
- Reporting Bayesian probabilities
- Chapter 8. Estimation
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