Statistics for Research Workers using R and R Markdown.

The Statistical Consulting Centre at the University of Melbourne is offering Statistics for Research Workers using R and R Markdown.

This course provides an introduction to foundational statistical methods and ideas used throughout statistics and data science.  It uses R statistical software with RStudio and R Markdown.  You will gain experience in the use of R as part of the course, but the focus is on statistical methods including:

- Measurement and study design

- Data summaries and data visualization

- Understanding distributions: the Normal distribution and the binomial distribution

- Central Limit Theorem and its application

- Foundations of statistical inference: estimation and confidence intervals, hypothesis testing

-Simple analytic methods for numerical outcomes: paired samples and independent samples

- General linear model for numerical outcomes, including analysis of variance and linear regression

- Simple analytic methods for categorical data based on contingency tables

- General analytic method for binary outcomes: logistic regression

- Principles of the design of experiments, including determination of sample size

Presenters: Professor Ian Gordon and Associate Professor Sue Finch

The expected time commitment is 3 hours a day for 4 days each week. The course runs for four weeks.

For more information, price and registration, please click here.