One of the central aims of the text is to ensure that students understand the basic principles of exploratory data analysis before they become involved in manipulating large quantities of data. Hence the author generally uses small data sets to introduce the key concepts, and gradually moves towards the handling of larger data sets.
The text uses the Minitab computer analysis package, which is one of the most popular statistical packages available in institutions of higher and further education. Students are told how to use the package before they are introduced to the ideas of methods of data analysis.
This clear, jargon–free textbook will be an invaluable aid for students beginning courses in the social sciences and related fields, such as social policy, business studies and health care.
2. The Minitab Package.
3. Looking at Data.
4. Level and Spread.
5. Exploratory Data Analysis of Two Data Sets.
6. Two Variables, Correlation, Cause and Effect.
7. Fitting a Straight Line to Data.
8. Linear Transformations.
9. The Gaussian or Normal Distribution.
10. Using Standard Normal Tables.
11. The Chi Square Test.