Think Stats (Paperback) (思考統計)

Allen B. Downey

Think Stats (Paperback)

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商品描述

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

商品描述(中文翻譯)

如果你懂得如何程式設計，你就有能力使用機率和統計的工具將數據轉化為知識。這本簡明介紹將向你展示如何使用Python編寫的程式來進行統計分析，而不是數學上的計算。

在整本書中，你將通過一個案例研究來學習整個數據分析過程，從收集數據和生成統計數據到識別模式和檢驗假設。在此過程中，你將熟悉分佈、機率規則、可視化和許多其他工具和概念。

以下是本書的主要內容：
- 通過編寫和測試程式碼來提升對機率和統計的理解能力
- 進行實驗以測試統計行為，例如從多個分佈中生成樣本
- 使用模擬來理解數學上難以理解的概念
- 學習通常不在入門課程中涵蓋的主題，例如貝葉斯估計
- 使用Python從幾乎任何來源導入數據，而不僅僅限於已經為統計工具清理和格式化的數據
- 使用統計推斷來回答關於現實世界數據的問題

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