Statistics without Tears: An Introduction for Non-Mathematicians

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I put off my Statistics course, which was a second-year prerequisite at university, until my last year, and I only ended up getting through it via a “Pass/Fail” credit. Catchment areas depend on the demography of the area and the accessibility of the health center or hospital. When it is impossible to relate cases of a disease to a population, perhaps because the cases were ascertained through a hospital with an undefined catchment area, proportional morbidity rates may be used. What it does, however, is to introduce and explain the concepts in a way that can be easily digested.

Statistics without Tears: An Introduction for Non-Mathematicians Statistics without Tears: An Introduction for Non-Mathematicians

But these catchment areas may only represent in a crude manner with the actual use of medical facilities by the local people.

This book was probably the most lucidly written book that I have come across that explains Statistics to a person entirely alien to the field. We build and maintain all our own systems, but we don’t charge for access, sell user information, or run ads.

Statistics without Tears! - BOPA Statistics without Tears! - BOPA

Be that as it may, if you teach statistics to reluctant students, this book will give you helpful suggestions and food for thought. The library shelves groan with the weight of books in which you'll find answers to such questions (p185), although having said that to my eyes this is pretty comprehensive for a non-technical reader and the kinds of questions it has raised are not ones I require answers to. If this is the first time you used this feature, you will be asked to authorise Cambridge Core to connect with your Dropbox account. This book is brilliant for demystification; it narrates without equations to make clear that stats aren’t some arcane form of computer science. Rowntree has included questions in his argument; answer them as you go and you will be able to tell how far you have mastered the subject.It may also involve absence from work which, for daily wage earners, is a major economic disincentive.

Statistics Without Tears - Derek Rowntree PDF | PDF - Scribd Statistics Without Tears - Derek Rowntree PDF | PDF - Scribd

I've probably picked the best time to read it, warmed up my brain after a summer of not much mathematical thinking - and I am sure I'll be rereading sections throughout next year as we cover them. This is a book for the layman that (by its own definition) does not go into the mathematical equations as "there are enough books on that".Our resources are crucial for knowledge lovers everywhere—so if you find all these bits and bytes useful, please pitch in. For example, to obtain a stratified random sample according to age, the study population can be divided into age groups such as 0–5, 6–10, 11–14, 15–20, 21–25, and so on, depending on the requirement. Poverty may limit health seeking behavior if the person cannot afford the bus fare to the health center even if the health services may be free of charge.

Statistics without Tears by Derek Rowntree | Waterstones Statistics without Tears by Derek Rowntree | Waterstones

Study populations may be defined by geographic location, age, sex, with additional definitions of attributes and variables such as occupation, religion and ethnic group. In any case, I have a decent grasp of what stats are and why they’re useful, by social science standards. More Hamburger icon An icon used to represent a menu that can be toggled by interacting with this icon.

Since it is desirable that a modest descriptive study does not cover a number of different groups of people, with widely differing ways of life or customs, it may be necessary to restrict the study to a particular ethnic group, and thus ensure better genetic or cultural homogeneity. The signs and symptoms are then interpreted against the total background of the patient's history and clinical examination including mental state examination. Speaker: Sian Williams is a Senior Lecturer in Health Psychology and Pharmacy Practice at the University of Brighton. She has over 20 years experience of teaching statistics to undergraduates and postgraduates in a range of health professions and with a range of experience (and levels of statistics-phobia! Aside from the mathematical complexities, I was plagued by programming languages that seem to have been designed by dinosaurs (I’m looking at you, “R”) and interaction with material that I thought I would have no relationship with following my graduation.