ABSTRACT

A grasp of the ways in which data can be collected, summarised and critically appraised is fundamental to application of the commonly used inferential techniques of statistics.  By reviewing the criteria for the design of questionnaires, planned experiments and surveys so as to minimise bias and by considering research methodology in general, this book clarifies the basic requirements of data collection. This introduction to statistics emphasizes the importance of data - its collection, summary and appraisal - in the application of statistical techniques.  This book will be invaluable to first- year students in statistics as well as to students from other disciplines on courses with a 'statistics module'.  Non-numerated postgradates embarking on research will also find much of the content useful.

chapter 1|8 pages

Populations and samples

chapter 2|24 pages

Tabular and graphical summaries of data

chapter 4|19 pages

Association between variables

chapter 5|20 pages

Testing hypotheses

chapter 6|10 pages

Published statistics

chapter 7|8 pages

Delving in tables

chapter 8|8 pages

Changes with time – index numbers

chapter 9|11 pages

Demography – introduction

chapter 10|17 pages

Components of population change

chapter 11|5 pages

Population projection

chapter 12|8 pages

Changes with time – time series

chapter 13|9 pages

Data analysis and the computer

chapter 14|13 pages

Social surveys

chapter 15|9 pages

Schemes of investigation

chapter 16|8 pages

Controlled experiments

chapter 17|10 pages

Sampling schemes

chapter 19|4 pages

Smoking and lung cancer

chapter 20|2 pages

An overview