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学生对 杜克大学 提供的 推论统计 的评价和反馈

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2,512 个评分

课程概述

This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data...

热门审阅

MN

Feb 28, 2017

Great course. If you put in a little effort, you will come out with a lot of new knowledge. I recommend using the book after you have seen the movies. It gives a deeper picture of how it works. Great!

ZC

Aug 23, 2017

This course by Professor Çetinkaya-Rundel is awesome because it is taught in a very clear and vivid way. Lab section and forum are so dope that I love them so much! Definitely strong recommendation!!!

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1 - 推论统计 的 25 个评论(共 441 个)

创建者 Dan H

Jun 29, 2019

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Jan 22, 2017

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Aug 24, 2017

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Nov 21, 2018

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Sep 10, 2016

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Nov 23, 2021

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Jun 15, 2017

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May 27, 2021