Daniel B. Wright, Kamala London

First (and Second) Steps in Statistics

• Broschiertes Buch

Produktbeschreibung

Presented through exciting examples, with an emphasis on understanding rather than computation, the Second Edition provides a crystal clear introduction to the main statistical procedures used in the psychological and social sciences.

Produktdetails

• Verlag: SAGE Publications Inc
• 2 Revised edition
• Seitenzahl: 248
• Erscheinungstermin: 1. April 2009
• Englisch
• Abmessung: 233mm x 187mm x 20mm
• Gewicht: 466g
• ISBN-13: 9781412911429
• ISBN-10: 1412911427
• Artikelnr.: 25052034

Autorenporträt

Daniel B. Wright is Professor of Educational Assessment, in the Department of Educational Psychology and Higher Education, University of Nevada, Las Vegas. His interests are in methodology and applied cognitive science.

Inhaltsangabe

Univariate Statistics 1: Histograms and Boxplots
Univariate Statistics 2: The Mean and Standard Deviation
Univariate Statistics 3: Proportions and Bar Charts
Sampling and Allocation
Inference and Confidence Intervals
Hypothesis Testing: t tests and Alternatives
Comparing More than Two Groups or More than Two Variables
Regression and Correlation
Factorial ANOVAs and Multiple Regression
Categorical Data Analysis

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Univariate Statistics 1: Histograms and Boxplots
Univariate Statistics 2: The Mean and Standard Deviation
Univariate Statistics 3: Proportions and Bar Charts
Sampling and Allocation
Inference and Confidence Intervals
Hypothesis Testing: t tests and Alternatives
Comparing More than Two Groups or More than Two Variables
Regression and Correlation
Factorial ANOVAs and Multiple Regression
Categorical Data Analysis

Rezensionen

'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