Hi, I'm Hannah, and data is my medium. I'm a first-year Mathematics and Statistics student, spending my days studying statistical methods and my nights teaching myself Python, R, and the art of vibe coding.
Recently, I have been exploring how to use AI responsibly to uncover insights that help people make better decisions. Data science, to me, is about finding the story hidden between the numbers.
Away from the code, I have a love for teaching GCSE Mathematics, which I have been doing since I finished the exams myself. Recently, I worked hard with a student to increase their grade from a Grade 2 to a 5 in Foundation. Teaching has taught me that when someone starts enjoying the process, the progress follows naturally.
Take a look around - consider this my way of teaching you what I've been learning.
As part of my university coursework, I was asked to research and provide an essay about confidence intervals and hypothesis testing. I found that they are fundamental to the framework of statistical reasoning, and helpful in making decisions in the presence of risk and uncertainty.
Also, understanding the potential errors in these calculations is essential for the correct interpretation of such results.
Figure 1: Confidence interval (blue), null hypothesised value (red)