A First Course in Applied Statistics with applications in biology, business and the social sciences (2e) : 9781442541511

A First Course in Applied Statistics with applications in biology, business and the social sciences (2e)

Published by
Pearson New Zealand
Available on demand
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A First Course in Applied Statistics by Megan J. Clark and John A. Randal, now in its second edition, is specifically tailored to the needs of biology, business and social science students and is designed to equip them with the statistical skills and knowledge that will allow them to advance in their chosen discipline.

The exercises which support the text are all based on recent real-world applications. Data are sourced from reports and articles written by academics and practitioners in psychology, ecology, marine biology, business, finance, economics, computing, biomedical science and environmental science, making this book relevant to current developments in these disciplines.

The book has a strong local flavour with many high interest examples reflecting New Zealand and its academic community. Many exercises place New Zealand society within a global context. Others reflect research specific to New Zealanders, or by New Zealand academics, to emphasise to students the immediate relevance and applicability of this material to the student's major course of study.

Table of contents

  1 Introduction

I Summarising data
  2 Data collection, organisation and graphical representation
  3 Summary statistics
  4 Describing bivariate relationships
  5 Time series data

II Introduction to probability
  6 Working with probabilities
  7 Proportions and the binomial distribution
  8 The normal distribution

III Estimation and testing
  9 Single population
10 Two populations
11 Many populations
12 Tests for categorical data
13 Inference and the regression line
14 Review of estimation and testing

IV Appendices
A Self-assessment guide and mathematical basics
B Calculator use
C Spreadsheet use
D Tables and table use
E Solutions to selected exercises

New to this edition
  • Time Series Chapter  
  • New problems and solutions
  •  Expanded coverage of introductory topics, including sampling
  • Guidance in the use of a spreadsheet in statistics
  • Web-based supplements package
Author biography

Associate Professor Megan Clark (BSc(Hons), MSc) is an associate professor in statistics at Victoria University of wellington. She has worked extensively in statistics for over a decade and has research interests in mathematics education. She has taught first-year applied statistics to natural and social science students for many years and has a body of research in this area to her credit particularly in the area of contextualising statistics education and the effect on accessibility of the material. She has been awarded a Royal Society Bronze Medal for services to women in education. In 2000- she was a British Council visitor to the UK giving seminars on mathematics education and in 2003 visited the US under a US National Institute of Health federal programme to promote diversity in biomedical research. She is on the Editorial Board of Education Studies in Mathematics and is a regular referee for the Statistics Education Research Journal. Her first year statistics course won a student award for ‘Most Stimulating 100-level course in 2002’.

John Randal (DipFinMath, MSc, PhD) is a senior lecturer in econometrics and finance, also at Victoria University. He has spent over a decade lecturing in first year courses in statistics to both business students and those in the biological and social sciences. As a graduate student he spent many years as a tutor and teaching assistant in first year statistics courses, and still loves the challenge of explaining this material to reluctant or desperate learners. This experience at the ‘chalk-face’ and an inbuilt interest in education has led to his teaching in statistics being highly regarded by his class.

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