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 course runs for six working days.

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

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The course is face-to-face, and the start date is 22 November 2023.