Statistics The Conceptual Approach

ISBN-10: 0387946101

ISBN-13: 9780387946108

Edition: 1997

Authors: Gudmund R. Iversen, Mary Gergen

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This book gives an imaginative introduction to statistics and reorients the course toward an understanding of statistical thinking and its meaning and utility for students in their daily life and careers. It is well-known that most students enrolled in statistcs courses are under duress, and for these students lengthy discussions of numerous methods, formulas, and complex theories are of little value and no meaning. In Statistics: The Conceptual Approach, Gudmund Iversen and Mary Gergen bring their years of experience and insight into teaching the subject. Among the many innovations and insights found in this new text are a sustained emphasis on the process of statistical analysis and what statistics can and cannot do as well as careful exposition of the ideas of developing statistical and graphical literacy. In the spirit of contemporary pedagogy and through the use of technology, this book eliminates the usual barriers caused by statistical formulas and lengthy computations encountered by students without strong quantitative skills. Formulas are grouped at the end of each chapter along with related problems. Statistics: The Conceptual Approach requires only algebra as a prerequisite and is suitable for students in the liberal arts and the behavioral and social sciences.
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Book details

List price: $109.00
Copyright year: 1997
Publisher: Springer
Publication date: 4/30/1997
Binding: Hardcover
Pages: 735
Size: 8.00" wide x 9.75" long x 1.75" tall
Weight: 3.432
Language: English

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Statistics: Randomness and Regularity
Collection of Data
Description of Data: Graphs and Tables
Description of Data: Computing Summary Statistics
Drawing Conclusions: Estimation
Drawing conclusions: Hypothesis testing
Relationships Between Variables
Chi-square Analysis for Two Categorical Variables
Regression and Correlation for Two Metric Variables
Analysis of Variance for a Categorical and a Metric Variable
Rank Methods for Two Rank Variables
Multivariate analysis
Statistics in Everyday Life
Statistical Tables
Answers to Odd-Numbered Exercises
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