Statistics
A Fresh Approach
McGraw-Hill Inc.,US (Publisher)
4th Edition
Published on 1. January 1990
Book
Hardback
700 pages
978-0-07-054881-7 (ISBN)
Description
Written for consumers rather than producers of statistical information this book draws on students' intuition and common sense when developing important concepts, and captures their attention through the use of interesting quotes and humorous situations. The book presents essential topics in statistics in a relaxed and informal way without omitting important topics. It is a common sense book with integrated examples throughout to help students apply material to today's world. And the mathematical demands are modest - making the book appropriate for a wide range of students.
More details
Edition
4th Revised edition
Language
English
Place of publication
New York
United States
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Edition type
Revised edition
Illustrations
illustrations (some colour)
Dimensions
Height: 240 mm
ISBN-13
978-0-07-054881-7 (9780070548817)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
Part I: Descriptive Statistics. Let's Get Started. Liars, and a Few Statisticians. Statistical Description: Frequency Distributions and Measures of Central Tendency Statists. Statistical Description: Measures of Dispersion and Skewness. Part II: Sampling in Theory and Practice. Probability and Probability Distributions. Sampling Concepts. Estimating Means and Percentages. Testing Hypotheses and Making Decisions: One-Sample Procedures. Testing Hypotheses and Making Decisions: Two-Sample Procedures. Comparison of Three or More Sample Means: Analysis of Variance. Comparison of Several Sample Percentages: Chi-Square Analysis. Part III: Coping with Change. Measuring Change: Index Numbers. Forecasting Tools: Time-Series Analysis. Forecasting Tools: Simple Linear Regression and Correlation. Part IV: Concluding Topics. Nonparametric Statistical Methods. Where Do We Go From Here?