Performing Confirmatory Data Analysis in R

提供:
Coursera Project Network
このガイド付きプロジェクトでは、次のことを行います。

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ダウンロード不要
Video分割画面ビデオ
Comment Dots英語
Laptopデスクトップのみ

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.

あなたが開発するスキル

Statistical InferenceStatistical Hypothesis TestingRegression AnalysisAnalysis Of Variance (ANOVA)

ステップバイステップで学習します

ワークエリアを使用した分割画面で再生するビデオでは、講師がこれらの手順を説明します。

  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

ガイド付きプロジェクトの仕組み

ワークスペースは、ブラウザに完全にロードされたクラウドデスクトップですので、ダウンロードは不要です

分割画面のビデオで、講師が手順ごとにガイドします

よくある質問

よくある質問

さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。