Inference for Numerical Data in R

DataCamp
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In this course you’ll learn techniques for performing statistical inference on numerical data.
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In this course, you’ll learn how to use statistical techniques to make inferences and estimations using numerical data. This course uses two approaches to these common tasks. The first makes use of bootstrapping and permutation to create resample based tests and confidence intervals. The second uses theoretical results and the t-distribution to achieve the same result. You’ll learn how (and when) to perform a t-test, create a confidence interval, and do an ANOVA!

Instructor(s)

Mine Cetinkaya-Rundel
DataCamp
via DataCamp
Free Trial Available
English
4 Hours
Self paced