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Inference for Categorical Data in R

高级技能水平
更新时间 2021年12月
In this course you'll learn how to leverage statistical techniques for working with categorical data.
免费开始课程
RProbability & Statistics
4小时
14 视频
53 道练习
4,000 XP
10,684
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课程描述

Categorical data is all around us. It's in the latest opinion polling numbers, in the data that lead to new breakthroughs in genomics, and in the troves of data that internet companies collect to sell products to you. In this course you'll learn techniques for parsing the signal from the noise; tools for identifying when structure in this data represents interesting phenomena and when it is just random noise.

先决条件

Foundations of Inference in R
1

Inference for a single parameter

In this chapter you will learn how to perform statistical inference on a single parameter that describes categorical data. This includes both resampling based methods and approximation based methods for a single proportion.
开始章节
2

Proportions: testing and power

This chapter dives deeper into performing hypothesis tests and creating confidence intervals for a single parameter. Then, you'll learn how to perform inference on a difference between two proportions. Finally, this chapter wraps up with an exploration of what happens when you know the null hypothesis is true.
开始章节
4

Comparing many parameters: goodness of fit

Inference for Categorical Data in R
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