Basic concepts of statistical inference using R
>eR-BioStat
This course consists of 3-4 classes (each of three hours) which are focused on statistical inference at a basic level. The course covers the following topics:
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Inference for continuous variables: one population.
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Inference for numerical variables: two populations.
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Inference for categorical variables: one & two populations.
The three classes can be given as a complete course (at a basic level) or as a part of a specific course in basic statistical analysis (with extra modules in statistical modelling).
The course was developed at an undergraduate level courses (for both statistician and non statisticians) .
This is an open source course and all source files used to produce the slides are available online (in PP, Tex or Rmd formats).
THE COURSE IS UNDER DEVELOPMENT AND THIS IS NOT THE FINAL VERSION OF THE COURSE.
About
General information about the course and course materials and the study methods used in the course.
Topics
In this page, the course is presented in a typical slides format. The course consists of 3 separate chapters for which the slides are available online and can be downloaded for free. All examples are implemented in R.
Online tutorials
In this page, supporting online tutorials are given in different formats. The online tutorials contain topics presented in the slides and R code and output are a part of the tutorials. YouTube tutorials are given as well.
The >eR-BioStat initiative
This course was developed as a part of the >eR-BioStat initiative. More courses can be found in https://erbiostat.wixsite.com/erbiostat.
Follow us on FACEBOOK and Twitter:
Course developer: Ziv Shkedy.
Email: ziv.shkedy@uhasselt.be
