First Steps in Statistics - Couverture souple

Wright, Daniel B.

 
9780761951636: First Steps in Statistics

Synopsis

First Steps in Statistics is an introduction to the most common statistics used and taught on first-year research methods courses and is designed to map onto a ten- or fifteen-week module. Coverage includes:

  • descriptive statistics
  • t Tests
  • ANOVAs
  • correlations
  • regressions
  • Chi-Squared test
  • graphing data

Carefully chosen examples are used to illustrate each test, and there is particular care in conveying conceptual aspects. There are also special chapters dedicated to the role of hypothesis testing, sampling, and making graphs. Each chapter includes several exercises answers to which can be supplied free to adopters upon request. A list of further reading to guide the student comfortably through their first experience of doing basic statistics and playing with data is also provided. 

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Présentation de l'éditeur

First (and Second) Steps in Statistics, Second Edition provides a clear and concise introduction to the main statistical procedures used in the psychological and social sciences. The rationale and procedure for analyzing data are presented through exciting examples, with an emphasis on understanding rather than computation. It is ideally suited for introductory courses in statistics. In addition to descriptive statistics, graphs, t tests, one way Anovas, Chi-square, and simple linear regression, this second edition includes factorial Anova and multiple regression. Emphasis is given to tests of median and other robust methods.

Revue de presse

'This engagingly written and nicely opinionated book is a blend of friendly introduction and concisely applicable detail. No-one can recall every statistical formula, but if they have this book they will know where to look' --Professor Jon May, University of Plymouth

'This is one of the best books I have come across for teaching introductory statistics. The illustrative examples are engaging and often humorous and the explanations of 'difficult' concepts are written in a wonderfully clear and intuitive way' --Nick Allum, University of Essex

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