Getting Started With Statistics

Bayes' Theorem is hard.Is it, though? If you flick through any of the other books on Bayesian statistics you'll get the distinct impression that you'll have a lot of really hard maths to do, and it can be really intimidating. But is that what Bayesian stats is really all about?If you're wondering whether you should have a look at Bayesian statistics to see if it's right for you, then Bayes' Theorem and Bayesian Statistics in the Getting Started With Statistics series is your first port of call. If what you need is a short guide to getting started, a snappy little non-threatening introduction to Bayes' Theorem and Bayesian Statistics that dispels the biggest myths, answers the most frequently asked questions and inspires you to take the next steps in your journey, then look no further. Bayes' Theorem and Bayesian Statistics is that guide. This book is not written for statisticians. Nor is it written by a statistician.A Physicist by trade, and a self-taught statistician, I may have worked (and taught) as a statistician for several years but I have my own struggles with statistics, so I understand where the hard bits are. Better still, I know how to explain them to others in plain English without using difficult to understand technical terminology.That's what you can expect in this book. First, I'll explain what Bayes' Theorem is in simple terms.Then you'll move on to understanding what conditional probability is and why you don't need it if you want to find a parking spot, but you do if you're playing cards (and you want to win).You'll learn about Prior and Posterior probabilities, and use them to work out if you need to take a brolly to the beach with you (spoiler alert – I live in Scotland. I always need to take a brolly to the beach!).Then I'll bust a few myths about what Bayesian statistics is – and what it isn't. By this point you'll have made up your mind about whether you want to go further, so I'll show you how to take your next steps. Bayes' Theorem and Bayesian Statistics makes no assumptions about your previous experience and is perfect for beginners and the Bayes-curious! Discover the world of Bayes' Theorem and Bayesian Statistics. Get this book, TODAY!

Data visualisation is sexy.So is Artificial Intelligence, Bayesian inference and Time Series analysis.As data analysts, we all like to do the sexy things, but it's the boring, more mundane and every day data tasks – like understanding the different types of data – that will make or break your analysis.Few people that have to do statistics as part of their research know and understand the statistical data types, and as a result struggle to get to grips with what they can and can't do with their data.That's a shame, because if you know the 4 types of data in statistics you know:How to handle your data correctlyWhat you can calculate with themWhich descriptive statistics and visualisations are appropriateWhich statistical hypothesis tests you can use In short, understanding your data types is a roadmap to doing your entire study properly.They really are that important! Data Types is a short guide to all the different types of data you'll encounter in statistics.It is a snappy little non-threatening book about everything you ever wanted to know (but were afraid to ask) about the 4 types of data in statistics, answers the most frequently asked questions and inspires you to take the next steps in your journey. First, I'll explain what Quantitative and Qualitative data are in simple terms.Then I'll break these 2 data classes down into the 4 types of data – Ratio, Interval, Ordinal and Nominal data.I'll show you how to handle each of them so you know precisely what you can and can't do with them.You'll learn which types of mathematics you can calculate with each, which descriptive statistics and visualisations you can use, and which statistics you can perform with them.I'll even show you how to create and analyse Dummy variables!By the time you've read this short book, you'll know as much about data types as a statistician with a PhD!Yes, really.I've left nothing out! Data Types makes no assumptions about your previous experience and is perfect for beginners and those just getting started with analysing data. Discover the world of Data Types. Get this book, TODAY!