Inference for Numerical Data in R

Description

In this course, you will :

• Learn how to use statistical techniques to draw conclusions and make estimates from numerical data.
• The first employs bootstrapping and permutation to produce resample-based tests and confidence intervals. The second achieves the same result by combining theoretical results and the t-distribution.
• Learn how to use a t-test, create a confidence interval, and conduct an ANOVA!

Syllabus :

• Bootstrapping for estimating a parameter
• Introducing the t-distribution
• Inference for difference in two parameters
• Comparing many means