Starting Statistics
A Short, Clear Guide
- Neil Burdess - Deakin University, Australia
Quantitative/Statistical Research (General)
In this refreshing book, experienced author and academic Neil Burdess shows that statistics are not the result of some mysterious "black magic", but rather the result of some very basic arithmetic. Getting rid of confusing x's and y's, he shows that it's the intellectual questions that come before and after the calculations that are important: (i) What are the best statistics to use with your data? and (ii) What do the calculated statistics tell you?
Statistics: A Short, Clear Guide aims to help students make sense of the logic of statistics and to decide how best to use statistics to analyse their own data. What's more, it is not reliant on students having access to any particular kind of statistical software package.
This is a very useful book for any student in the social sciences doing a statistics course or needing to do statistics for themselves for the first time.
A good clear guide - probably better for the more able nursing student as a guide
An excellent and accessible introduction for students engaging with statistics for the first time. The clear and cohesive structure of the book and the engaging way in which it is written makes it a must for those students who view statistical analysis as an insurmountable barrier to progress.
Something for students to dip into should they decide to try out some quantitative research as part of their modules rather than go down the assignment-writing route.
A clear and concise introduction to statistics - if you're starting statistics, start here.
A good, clear simple book for students who are new, or who are very worreid about the research process and statistics
A very user freindly book for those students who do not routinely engage with statistics. It offers a clear insight into the jargon of statistics and uses everyday language in its explanations and examples.
I will not be adopting this book was a bit confusing on what I consider the basics for my classes. For example measuring categories was seperated from the other types of measurment, like interval and ratio data. The order of chapters does not suit either with hyposthesis testing coming late on in the text. Thanks.
we already have other books which are better suited as core text. However, this is quite a good, easy to read book that would be very help for some of our masters students who are finding statistics a bit challenging. Good book for those students to bring them up to speed but not as a core text for the whole cohort, hence added to our recommended book list for the students as supplemental adoption.
This is a useful supplemental book for students studying research methods.
