Fundamentals of Statistical Reasoning in Education

ISBN-10: 0470574798

ISBN-13: 9780470574799

Edition: 3rd 2011

Authors: Theodore Coladarci, Casey D. Cobb, Edward W. Minium, Robert C. Clarke

List price: $201.95
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Description:

The original introductory statistics textbook written specifically for the discipline of education. Typically, education professors had to select from textbooks that were directed at "the behavioral sciences" or, at best, "psychology and education." While many of these texts are technically and conceptually adequate, the examples, problems, and applications are of little relevance to the reality of schools and, therefore, to the interests and concerns of education students. This text was designed to fill the void. Includes a CD.
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Book details

List price: $201.95
Edition: 3rd
Copyright year: 2011
Publisher: John Wiley & Sons, Incorporated
Publication date: 10/12/2010
Binding: Paperback
Pages: 480
Size: 7.50" wide x 9.25" long x 0.75" tall
Weight: 1.518
Language: English

Casey Cobb is Associate Professor of Education Policy and Director of the Center for Education Policy Analysis at the University of Connecticut. His current research interests include policies on accountability, school choice, and bilingual education, where he examines the implications for equity among historically marginalized populations. He teaches courses in policy studies, research methods and evaluation. Casey has also served as evaluator on several projects, most recently working with the Connecticut Department of Education to study inter-district magnet programs.

Introduction
Descriptive Statistics
Frequency Distributions
Graphic Representation
Central Tendency
Variability
Normal Distributions and Standard Scores
Correlation
Regression and Prediction
Inferential Statistics
Probability and Probability Distributions
Sampling Distributions
Testing Statistical Hypotheses about m When s Is Known: The One-Sample z Test
Estimation
Testing Statistical Hypotheses about m When s Is Not Known: The One-Sample t Test
Comparing the Means of Two Populations: Independent Samples
Comparing the Means of Dependent Samples
Comparing the Means of Three or More Independent Samples: One-Way Analysis of Variance
Inferences about the Pearson Correlation Coefficient
Making Inferences from Frequency Data
Statistical Power" (and How to Increase It)
Epilogue
References
Review of Basic Mathematics
Answers to Selected End-of-Chapter Problems
Statistical Tables
Index
Useful Formulas
Glossary
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