Sticky Post – Read this first. Categories and Links in Mathemafrica

The navigability of Mathemafrica isn't ideal, so I have created this post which might guide you to what you are looking for. Here are a number of different categories of post which you might like to take a look at: First year mathematics notes and resources (particularly for the University [...]

By | January 17th, 2018|0 Comments

What did you expect? Some notes on the Expectation operator.

Introduction A significant amount of focus in statistics is on making inference about the averages or means of phenomena. For example, we might be interested in the average number of goals scored per game by a football team, or the average global temperature or the average cost of a house [...]

By | October 9th, 2019|0 Comments

The Gradient Vector

Introduction In this post we introduce two important concepts in multivariate calculus: the gradient vector and the directional derivative. These both extend the idea of the derivative of a function of one variable, each in a different way. The aim of this post is to clarify what these concepts are, [...]

By | September 24th, 2019|0 Comments

The (Central) Cauchy distribution

The core of this post comes from Mathematical Statistics and Data Analysis by John A. Rice which is a useful resource for subjects such as UCT's STA2004F. Introduction The Cauchy distribution has a number of interesting properties and is considered a pathological (badly behaved) distribution. What is interesting about it is that [...]

By | September 17th, 2019|0 Comments

K-means: Intuitions, Maths and Percy Tau

Much of this content is based on lecture slides from slides from Professor David Barber at University College London: resources relating to this can be found at: The K-means algorithm The K-means algorithm is one of the simplest unsupervised learning* algorithms. The aim of the K-means algorithm is, given a [...]

By | September 7th, 2019|0 Comments

What’s the shortest known Normal Number?

Well, the answer is that it has to be infinitely long, but the question is what is the most compact form of a Normal Number possible. I was motivated to look into this from a lovely Numberphile video about all the real numbers.   Normal numbers in base [...]

By | September 6th, 2019|0 Comments

p-values (part 3): meta distribution of p-values

Introduction So far we have discussed what p-values are and how they are calculated, as well as how bad experiments can lead to artificially small p-values. The next thing that we will look at comes from a paper by N.N. Taleb (1), in which he derives the meta-distribution of p-values [...]

By | September 5th, 2019|0 Comments

p-values (part 2) : p-Hacking Why drinking red wine is not the same as exercising

What is p-hacking? You might have heard about a reproducibility problem with scientific studies. Or you might have heard that drinking a glass of red wine every evening is equivalent to an hour's worth of exercise. Part of the reason that you might have heard about these things is p-hacking: [...]

By | September 2nd, 2019|1 Comment

A quick argument for why we don’t accept the null hypothesis

Introduction When doing hypothesis testing, an often-repeated rule is 'never accept the null hypothesis'. The reason for this is that we aren't making probability statements about true underlying quantities, rather we are making statements about the observed data, given a hypothesis. We reject the null hypothesis if the observed data [...]

By | August 28th, 2019|0 Comments

p-values: an introduction (Part 1)

The starting point This is the first of (at least) 3 posts on p-values. p-values are everywhere in statistics- especially in fields that require experimental design. They are also pretty tricky to get your head around at first. This is because of the nature of classical (frequentist) statistics. So to [...]

By | August 21st, 2019|0 Comments

R-squared values for linear regression

What we are talking about Linear regression is a common and useful statistical tool. You will have almost certainly come across it if your studies have presented you with any sort of statistical problems. The pros of regression are that it is relatively easy to implement and that the relationship [...]

By | August 18th, 2019|1 Comment
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