Performing Confirmatory Data Analysis in R

от партнера
Coursera Project Network
В этом Проект с консультациями вы:

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
IntermediateУчащийся среднего уровня
CloudЗагрузка не требуется
VideoВидео на разделенном экране
Comment DotsАнглийский
LaptopТолько для ПК

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.

Навыки, которые вы получите

Statistical InferenceStatistical Hypothesis TestingRegression AnalysisAnalysis Of Variance (ANOVA)

Будете учиться пошагово

На видео, которое откроется рядом с рабочей областью, преподаватель объяснит эти шаги:

  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

Как устроены проекты с консультациями

Ваше рабочее пространство — это облачный рабочий стол в браузере. Ничего не нужно загружать.

На разделенном экране видео преподаватель предоставляет пошаговые

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