Think Stats; Allen B. Downey; 2011

Think Stats Upplaga 1

av Allen B. Downey
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 code * Run experiments to test statistical behavior, such as generating samples from several distributions * Use simulations to understand concepts that are hard to grasp mathematically * Learn topics not usually covered in an introductory course, such as Bayesian estimation * Import data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics tools * Use statistical inference to answer questions about real-world data
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 code * Run experiments to test statistical behavior, such as generating samples from several distributions * Use simulations to understand concepts that are hard to grasp mathematically * Learn topics not usually covered in an introductory course, such as Bayesian estimation * Import data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics tools * Use statistical inference to answer questions about real-world data
Upplaga: 1a upplagan
Utgiven: 2011
ISBN: 9781449307110
Förlag: O'Reilly Media
Format: Häftad
Språk: Engelska
Sidor: 140 st
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 code * Run experiments to test statistical behavior, such as generating samples from several distributions * Use simulations to understand concepts that are hard to grasp mathematically * Learn topics not usually covered in an introductory course, such as Bayesian estimation * Import data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics tools * Use statistical inference to answer questions about real-world data
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 code * Run experiments to test statistical behavior, such as generating samples from several distributions * Use simulations to understand concepts that are hard to grasp mathematically * Learn topics not usually covered in an introductory course, such as Bayesian estimation * Import data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics tools * Use statistical inference to answer questions about real-world data
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Om Think Stats (2011)

I augusti 2011 släpptes boken Think Stats skriven av Allen B. Downey. Det är den 1a upplagan av kursboken. Den är skriven på engelska och består av 140 sidor djupgående information. Förlaget bakom boken är O'Reilly Media.

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