Skip main navigation

Activity 3 overview

In this final activity of the course, you focus on practising your R skills, making simulations of random experiments. In the four tasks provided for the RStudio activity, you will …

Computer simulations of random experiments

The ideas and techniques discussed in this reading set the conceptual foundation for the interpretation of probabilities used in statistical models to make inference based on data. Refer to the …

Demonstration: Stability of frequencies

In this video Dr Leonid Bogachev discusses how simulations of long random sequences expose the stability of frequencies, which provides a conceptual link between data analysis and statistical models.

Activity 1 overview

Welcome to the final week of this Statistical Methods course from the University of Leeds! This week, there are two activities to complete. Activities 1 and 2 give you the …

Next week on the course

Congratulations, you have completed Week 2 of this Statistical Methods course! Remember this content will remain available to you throughout the course and you should re-visit any content that you …

Instructions for your first RStudio activity

In this RStudio activity, you will practice your R skills by exploring and analysing datasets. Your goal is to create numerical and graphical summaries to help you discuss key features …

Activity 3 overview

In this activity you complete your learning week using the statistical software R in the RStudio environment. The tasks for this RStudio activity teach you hands-on R skills by exploring …

R code for numerical summaries

This continues from the content of the video Demonstration: Basics of RStudio for data summaries. In it, you will learn R codes for creating numerical  summaries. This step covers sample …

Getting started with RStudio

Watch the previous video called Demonstration: Basics of RStudio for data summaries before working through this and the next step. It gives an overview of the statistical software R and its graphical …

Shape of data distribution

In this step we examine how it is useful to be able to characterise some qualitative features of the data. This step explains the shape of the data distributions, focusing …

Graphical summaries of data

In the next two steps, we briefly review some basic concepts and tools for summarising the data both graphically and numerically. Such summaries, referred to as descriptive statistics, belong to the …

Numerical summaries of data

By selecting the most suitable summary for data, you can identify its key features. In this step, we continue to review some basic concepts and tools of descriptive statistics, now …

Types of data

In this step, you discover an important difference between a statistical variable of interest and observations of this variable recorded in the dataset. Then, you consider a useful classification of …

Activity 1 overview

Welcome to the second week of this Statistical Methods course from the University of Leeds! This week, there are three activities to complete. Activity 1 gives you the background knowledge …

Next week on the course

Congratulations, you have completed Week 1 of this Statistical Methods course! Remember this content will remain available to you throughout the course and you should re-visit any content that you …