RStudio for Six Sigma - Hypothesis Testing

von
Coursera Project Network
In diesem angeleitetes Projekt werden Sie:

Import datasets into RStudio and Perform Hypothesis Testing

Understand and identify data types (continuous vs discrete). Choose the correct Hypothesis Testing tool.

Perform various Hypothesis Tests including Correlation, Regression, Logistic Regression, Chi-Square Test, T-Tests, Analysis of Variance (ANOVA), etc.

Clock2 hours
IntermediateMittel
CloudKein Download erforderlich
VideoVideo auf geteiltem Bildschirm
Comment DotsEnglisch
LaptopNur Desktop

Welcome to RStudio for Six Sigma - Hypothesis Testing. This is a project-based course which should take approximately 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure. By the end of this project, you will learn to identify data types (continuous vs discrete), understand what is Hypothesis Testing, pick the right Hypothesis Testing tool, perform various Hypothesis Tests including Correlation, Simple Regression, Logistic Regression, Chi-Square Test, T-Tests, Analysis of Variance (ANOVA), and Non-Parametric tests such as Wilcoxon Rank Sum and Kruskal Wallis.

Kompetenzen, die Sie erwerben werden

  • Data Science
  • R Programming
  • Six Sigma
  • Statistical Hypothesis Testing
  • Rstudio

Schritt für Schritt lernen

In einem Video, das auf einer Hälfte Ihres Arbeitsbereichs abgespielt wird, führt Sie Ihr Dozent durch diese Schritte:

  1. Perform hypothesis testing on Continous X and Y data in RStudio using Scatter Plot, Correlation, Regression.

  2. Perform hypothesis testing on Continuous X, Discrete Y data in RStudio using Logistic Regression.

  3. Perform hypothesis testing on Discrete X, Discrete Y data in RStudio using Chi-Square Test

  4. Perform hypothesis testing on Discrete X, Continuous Y data in RStudio. Analysis of Stability, Shape and Spread.

  5. Perform hypothesis testing on Discrete X, Continuous Y data in RStudio. 1 Sample t-Test, 2 Sample t-Test, ANOVA (Cont Y, Disc X), Non-parametric tests (Wilcoxon, Moods-Median, Kruskal)

Ablauf angeleiteter Projekte

Ihr Arbeitsbereich ist ein Cloud-Desktop direkt in Ihrem Browser, kein Download erforderlich

Ihr Dozent leitet Sie in einem Video mit geteiltem Bildschirm Schritt für Schritt an.

Häufig gestellte Fragen

Häufig gestellte Fragen

Haben Sie weitere Fragen? Besuchen Sie das Learner Help Center.