RStudio for Six Sigma - Hypothesis Testing

RStudio for Six Sigma - Hypothesis Testing welcomes you, which is one of the Best Online Rstudio Courses. This is a project-based course that should take you around two hours to complete. Please review the course goals and structure before beginning the project.

By the end of this project, you'll know how to identify data types (continuous vs. discrete), what hypothesis testing is, how to choose the right hypothesis testing tool, and how to perform various hypothesis tests such as correlation, simple regression, logistic regression, chi-square test, T-Tests, Analysis of Variance (ANOVA), and non-parametric tests like Wilcoxon Rank Sum and Kruskal Wallis.

In this Guided Project , you:

• Import data into RStudio and conduct hypothesis tests
• Recognize and classify various data kinds (continuous vs discrete). Select the most appropriate Hypothesis Testing instrument.
• Correlation, Regression, Logistic Regression, Chi-Square Test, T-Tests, Analysis of Variance (ANOVA), and other hypotheses tests are performed.

Thanks to a split-screen video in your workplace, your teacher will walk you through each step:

• In RStudio, use Scatter Plot, Correlation, and Regression to test hypotheses on continuous X and Y data.
• In RStudio, use Logistic Regression to do hypothesis testing on Continuous X, Discrete Y data.
• Using the Chi-Square Test, test hypothesis on discrete X and discrete Y data in RStudio.
• In RStudio, do hypothesis testing on Discrete X, Continuous Y data. Stability, Shape, and Spread Analysis
• In RStudio, do hypothesis testing on Discrete X, Continuous Y data. ANOVA (Cont Y, Disc X), Non-parametric testing, 1 Sample t-Test, 2 Sample t-Test (Wilcoxon, Moods-Median, Kruskal)

This course offers:

• 2 hours
• Intermediate
• No download required
• Split-screen video
• English
• Desktop only

Rating: 4.4/5

Enroll here: https://www.coursera.org/projects/rstudio-six-sigma-hypothesis-testing