理解统计对于理解社会和行为科学的研究是必不可少的。在这门课中，你将学习统计学的基础知识，不仅是如何计算它们，还包括如何评估它们。本课程也将为你准备下一门课程——推理统计课程。在本课程的第一部分，我们将讨论描述性统计的方法。您将了解什么情况和变量以及如何计算中心趋势（平均值、中位数和模式）和离散度（标准偏差和方差）的度量。接下来，我们将讨论如何评估变量之间的关系，并且我们介绍相关和回归的概念。本课程的第二部分是关于概率的基本知识：计算概率、概率分布和抽样分布。你需要了解这些事情，以便理解推理统计是如何工作的。本课程的第三部分包括介绍推断统计的方法，这些方法帮助我们决定我们在数据中看到的模式是否足够强大，以得出关于我们感兴趣的潜在群体的结论。我们将讨论置信区间和显著性检验。您不仅将了解所有这些统计概念，还将接受培训，以使用免费提供的统计软件自己计算和生成这些统计信息。

Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. In the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression. The second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work. The third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests. You will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software.

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