Performing Confirmatory Data Analysis in R

提供方
Coursera Project Network
在此指導項目中,您將:

Understand the concepts of Confirmatory Data Analysis (CDA)

Perform different tests to illustrate the concepts of CDA

Explore built-in R dataset to test the hypothesis for more than two (2) independent samples

Clock2 hours
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

Welcome to this project-based course Performing Confirmatory Data Analysis in R. In this project, you will learn how to perform extensive confirmatory data analysis, which is similar to performing inferential statistics in R. By the end of this 2-hour long project, you will understand how to perform chi-square tests, which includes, the goodness of fit test, test for independence, and test for homogeneity. Also, you will learn how to calculate correlation for numeric variables and perform regression analysis. Also, you will learn how to interpret the results of a test and make viable decisions. By extension, you will learn how to explore some built-in R datasets to perform the different tests. Note, you do not need to be a data scientist or statistical analyst to be successful in this guided project, just a familiarity with basic statistics and performing hypothesis test in R suffice for this project. A fundamental prerequisite is having a good understanding of the theory of hypothesis test. So, I recommend that you should take the Hypothesis Testing in R project before taking this project.

您要培養的技能

  • Statistical Inference
  • Statistical Hypothesis Testing
  • Regression Analysis
  • Analysis Of Variance (ANOVA)

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Getting Started

  2. Chi-square tests: Goodness of fit test

  3. Chi-square tests: Test for Independence

  4. Chi-square tests: Test for Homogeneity

  5. Correlation

  6. Regression

  7. Analysis of Variance (ANOVA) - Part I

  8. Analysis of Variance (ANOVA) - Part II

  9. The Kruskal-Wallis test

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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