With statistics being central to data analysis, it is no wonder that it has become a compulsory subject for many social sciences disciplines. But is it possible to do statistics without maths? This is what this post is going to address.

How much level of faith do you put in what the public generally holds as true? Or, how much level of faith do you put in whatever you read? This post is going to reflect on what the P-Value is, and its implications on a null hypothesis.

Isn't it ironical that in the age of Big Data, the world is deluged not in factual claims but in a torrent of disinformation? How can you shield yourself against the lures of conspiracy theorists, rumourmongers and half-truth tellers?

Even though you may not be a mathematician, yet the moment you engage in research, you are bound by its rules. So how do we do statistics on a computer?

This second post on maths content accessibility looks at how to write maths. Though reading is a challenge, however, the good news is that when it comes to writing, the task is easy.

Reading is key to education. This post on maths accessibility looks at how one can use a screen-reader to go through maths expressions.

In this post, I begin a three-part discussion on the accessibility of maths content on the computer. Can a screen reader deal with maths? Find out.

Copyright © 2020 Ishe Chinyoka.

This work is licensed under CC BY NC ND 4.0

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