RStudio for Six Sigma - Hypothesis Testing
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.
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.
Skills you will develop
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Perform hypothesis testing on Continous X and Y data in RStudio using Scatter Plot, Correlation, Regression.
Perform hypothesis testing on Continuous X, Discrete Y data in RStudio using Logistic Regression.
Perform hypothesis testing on Discrete X, Discrete Y data in RStudio using Chi-Square Test
Perform hypothesis testing on Discrete X, Continuous Y data in RStudio. Analysis of Stability, Shape and Spread.
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)
How Guided Projects work
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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