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As COP28, the 2023 United Nations Climate Change Conference, kicks off we look at how maths can help understand the climate crisis.

How do you create dramatic film out of mathematics? We find out with writer and director Timothy Lanzone.

Mathematics plays a central role in understanding how infectious diseases spread. This collection of articles looks at some basic concepts in epidemiology to help you understand this fascinating and important field, and set you up for further study.

Find out why the formula we use to work out conditional probabilities is true!

- We talk about a play that explores the fascinating mathematical collaboration between the mathematicians GH Hardy and Srinivasa Ramanujan.

The sampling distribution, i.e. the distribution of the means of the individual samples is NOT the normal distribution, as this blog states. The sampling distribution is the so-called Student t distribution, which, although similar in shape to the normal (Gaussian) (bell-shaped) has different parameters. In particular, normal distribution does not depend on the sample size while the Student t distribution does (sample size / degrees of freedom is a parameter of Student t). The spread of normal is characterized by variance (standard deviation squared) while the spread of Student t is characterized by the standard error squared.