Introduction to Statistics and Probability Theory

M. S. El-Nasr, Truong Huy Nguyen Dinh, Alessandro Canossa, Anders Drachen
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Abstract

This chapter introduces the basics of statistics and probability theory that will be used throughout the book. Specifically, it introduces the concepts behind descriptive statistics, including aspects of using visualization of means, medians, and modes, as well as distribution visualizations to understand your data for further analysis. It also introduces inferential statistics, specifically discussing t-tests and ANOVA, discussing the assumptions used for each of the tests and outputs. The chapter also includes labs where we use real game data to give you a practical understanding of how to apply these concepts and tests and how to interpret the meaning of the results you get from each test and method.
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统计概率论导论
本章介绍了统计和概率论的基础知识,将在整个书中使用。具体来说,它介绍了描述性统计背后的概念,包括使用均值、中位数和模式的可视化方面,以及分布可视化来理解数据以进行进一步分析。它还介绍了推理统计,具体讨论了t检验和方差分析,讨论了用于每个检验和输出的假设。这一章还包括我们使用真实游戏数据的实验,让你实际理解如何应用这些概念和测试,以及如何解释从每个测试和方法中获得的结果的含义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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