A review of fundamental research principles, terminologies, and language of statistics.

Image by Adeolu Eletu via Unsplash

In my previous blog, I intuitively introduced the world of statistics in the simplest language possible. I explained what is statistics, its importance and use cases with examples. We discovered why anecdotal evidence is not a good statistic to base conclusions of the population on. Although the previous blog is not a prerequisite, check it out if you haven’t already. In this blog, I will unravel the research principles, language, and terminologies from the world of statistics. So, without further ado, let’s get started.

A gentle and straight-forward introduction to statistics and its use cases.

Welcome to my first blog on statistics. I’ve been meaning to kick-start my journey in blogging with statistics for some time. Although I have had formal statistics course in my under-graduation few years back, it is now that I’m finally intrigued by this subject. My blog is a gentle and straight-forward introduction to the world of statistics based on a book ‘Statistics in Plain English’ by Timothy C. Urdan that I’m reading. I urge everyone looking for a quick refresher to go grab a copy of this book. So, without further ado, let’s jump right in.

Defining statistics

In a very layman…

Kshitiz Sahay

Hi!! I’m a machine learning engineer at a tech startup in Chennai, India. I absolutely love working with data and wanna leverage AI to solve world crisis!

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store