官术网_书友最值得收藏!

Chapter 2. Inferential Statistics

Before getting understanding the inferential statistics, let's look at what descriptive statistics is about.

Descriptive statistics is a term given to data analysis that summarizes data in a meaningful way such that patterns emerge from it. It is a simple way to describe data, but it does not help us to reach a conclusion on the hypothesis that we have made. Let's say you have collected the height of 1,000 people living in Hong Kong. The mean of their height would be descriptive statistics, but their mean height does not indicate that it's the average height of whole of Hong Kong. Here, inferential statistics will help us in determining what the average height of whole of Hong Kong would be, which is described in depth in this chapter.

Inferential statistics is all about describing the larger picture of the analysis with a limited set of data and deriving conclusions from it.

In this chapter, we will cover the following topics:

  • The different kinds of distributions
  • Different statistical tests that can be utilized to test a hypothesis
  • How to make inferences about the population of a sample from the data given
  • Different kinds of errors that can occur during hypothesis testing
  • Defining the confidence interval at which the population mean lies
  • The significance of p-value and how it can be utilized to interpret results
主站蜘蛛池模板: 靖西县| 邹城市| 肃南| 皮山县| 安塞县| 乡宁县| 溧阳市| 牡丹江市| 华阴市| 买车| 教育| 神木县| 都江堰市| 丰都县| 屯昌县| 定南县| 牙克石市| 乌什县| 建阳市| 瑞安市| 达日县| 大英县| 马关县| 彩票| 长春市| 宜春市| 桂阳县| 获嘉县| 江津市| 阜平县| 绥德县| 屏边| 泰安市| 峨眉山市| 邯郸县| 微山县| 集安市| 沙湾县| 盐亭县| 敦煌市| 达拉特旗|