Statistics: Unlocking the World of Data

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en
English
32 h
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  • 8 Sequences
  • Introductive Level
  • Starts on January 9, 2023
  • Ends on March 27, 2023

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Course details

Syllabus

Week 1: Introducing Data
What is statistics? We begin the course with this question, and see how data lies at the heart of statistics. We look at common techniques for presenting and summarising data.

Week 2: Patterns in Data
We look further into the science of data analysis, focusing on finding and interpreting relationships between different data sets, and on using trends in data to make predictions.

Week 3: Collecting Data
We look at key methods of data collection, seeing how we generally use samples of a population to make predictions about the whole population. We learn about how to choose a representative sample, and how to set up a statistical experiment.

Week 4: Uncertainty in Data
Using samples to make predictions about a population brings uncertainty into our data. As the study of risk and uncertainty, probability is therefore key to understanding statistics. We introduce the ideas here for describing and quantifying uncertainty via probabilities.

Week 5: Distribution
We look again at probability and describe a range of common situations that lead to standard forms for describing the associated probability of different possible outcomes. The ability to describe such probabilities provides the basis for building up the knowledge and understanding needed to study deeper statistical methods.

Week 6: Estimation
We will build on the idea of estimating properties of a population using sample data. Further, as the answer that we provide is only an estimate of the (unknown) true value, we will also describe how we may construct an associated uncertainty interval for the parameter being estimated, using properties of the sampling distribution.

We introduce the testing method that is fundamental to all of science: the hypothesis test. We learn how to set up and perform a hypothesis test, and look at how such tests are used in scientific research.

Week 7: Statistical Testing
We introduce the concepts of the testing method that is fundamental to all of science: the hypothesis test. We learn how to set up and perform simple hypothesis tests.

Week 8: Further Statistical Testing
We build on the ideas of the hypothesis test and look at further tests that are commonly used in scientific research.

Prerequisite

Secondary school mathematics (GCSE/Standard Grade/National 5 grade C or above in Mathematics, or equivalent)

Instructors

Mairi Walker
Mathematics Engagement Officer for the year 2016/17
The University of Edinburgh

Ruth King
Thomas Bayes’ Chair of Statistics
The University of Edinburgh

Chris Sangwin
Professor of Technology Enhanced Science Education
The University of Edinburgh

Bruce Worton
Lecturer in Statistics
University of Edinburgh

Francesca Iezzi
Mathematics Engagement Officer
University of Edinburgh

Editor

The University of Edinburgh is a British university, founded in 1583 during a period of rapid development for the city of Edinburgh. It is considered to be one of the most prestigious universities in the world.

Having counted among its students inventors of the Industrial Revolution, it has more students than any other Scottish university and is one of the largest universities in the United Kingdom.

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