Think Stats, 2/e (Paperback)

Allen B. Downey

Think Stats, 2/e (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 tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.

By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts.

New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries.

  • Develop an 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
  • Import data from most sources with Python, rather than rely on data that’s 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資料轉化為知識。這本簡明介紹將教你如何使用Python程式來進行統計分析，而不是數學計算。

透過在整本經過全面修訂的書中使用單一案例研究，你將學習到從收集資料和生成統計數據到識別模式和檢驗假設的整個探索性資料分析過程。你將探索分佈、機率規則、視覺化和許多其他工具和概念。

新增的回歸、時間序列分析、生存分析和分析方法章節將豐富你的發現。

透過編寫和測試程式碼，培養對機率和統計的理解能力。

進行實驗以測試統計行為，例如從多個分佈生成樣本。

使用模擬來理解數學上難以理解的概念。

使用Python從大多數來源導入資料，而不是依賴已經為統計工具清理和格式化的資料。

使用統計推論來回答關於現實世界資料的問題。

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