Elementary Statistics

ISBN-10: 007330543X

ISBN-13: 9780073305431

Edition: 6th 2007 (Revised)

Authors: Allan G. Bluman

List price: $143.75
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Description:

ELEMENTARY STATISTICS: A STEP BY STEP APPROACH is for general beginning statistics courses with a basic algebra prerequisite. The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. This edition places more emphasis on conceptual understanding and understanding results. This edition also features increased emphasis on Excel, MINITAB, and the TI-83 Plus and TI 84-Plus graphing calculators, computing technologies commonly used in such courses.
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Book details

List price: $143.75
Edition: 6th
Copyright year: 2007
Publisher: McGraw-Hill Higher Education
Binding: Mixed Media
Size: 9.00" wide x 10.75" long x 1.25" tall
Weight: 4.444
Language: English

Allan G. Bluman is Professor of Mathematics at Community College of Allegheny County, near Pittsburgh. For the McKeesport and New Kensington Campuses of Pennsylvania State University, he has taught teacher-certification and graduate education statistics courses. Prior to his college teaching, he taught mathematics at a junior high school. Professor Bluman received his B.S. from California State College in California, Penn.; his M.Ed. from the University of Pittsburgh; and, in 1971, his Ed.D., also from the University of Pittsburgh. His major field of study was mathematics education. In addition to Elementary Statistics: A Step by Step Approach, Third Edition, and Elementary Statistics: A Brief Version, the author has published several professional articles and the Modern Math Fun Book (Cuisenaire Publishing Company). He has spoken and presided at national and local mathematics conferences and has served as newsletter editor for the Pennsylvania State Mathematics Association of Two-Year Colleges. He is a member of the American Statistical Association, the National Council of Teachers of Mathematics, and the Mathematics Council of Western Pennsylvania. Al Bluman is married and has two children. His hobbies include writing, bicycling, and swimming.

The Nature of Probability and Statistics
Introduction
Descriptive and Inferential Statistics
Variables and Types of Data
Data Collection and Sampling Techniques
Observational and Experimental Studies
Uses and Misuses of Statistics
Computers and Calculators
Summary
Frequency Distributions and Graphs
Introduction
Organizing Data
Histograms, Frequency Polygons, and Ogives
Other Types of Graphs
Summary
Data Description
Introduction
Measures of Central Tendency
Measures of Variation
Measures of Position
Exploratory Data Analysis
Summary
Probability and Counting Rules
Introduction
Sample Spaces and Probability
The Addition Rules for Probability
The Multiplication Rules and Conditional Probability
Counting Rules
Probability and Counting Rules
Summary
Discrete Probability Distributions
Introduction
Probability Distributions
Mean, Variance, Standard Deviation, and Expectation
The Binomial Distribution
Other Types of Distributions (Optional)
Summary
The Normal Distribution
Introduction
Properties of the Normal Distribution
The Standard Normal Distribution
Applications of the Normal Distribution
The Central Limit Theorem
The Normal Approximation to the Binomial Distribution
Summary
Confidence Intervals and Sample Size
Introduction
Confidence Intervals for the Mean (s Known or n[3]30) and Sample Size
Confidence Intervals for the Mean (s Unknown or n<30)
Confidence Intervals and Sample Size for Proportions
Confidence Intervals for Variances and Standard Deviations
Summary
Hypothesis Testing
Introduction
Steps in Hypothesis Testing - Traditional Method
z Test for a Mean
t Test for a Mean
z Test for a Proportion
Chi Square test for a Variance or Standard Deviation
Additional Topics Regarding Hypothesis Testing
Summary
Testing the Difference Between Two Means, Two Variances, and Two Proportions
Introduction
Testing the Difference Between Two Means: Large Samples
Testing the Difference Between Two Variances
Testing the Difference Between Two Means: Small Independent Samples
Testing the Difference Between Two Means: Small Dependent Samples
Testing the Difference Between Proportions
Summary
Correlation and Regression
Introduction
Scatter Plots
Correlation
Regression
Coefficient of Determination and Standard Error of the Estimate
Multiple Regression (Optional)
Summary
Other Chi-Square Tests
Introduction
Test for Goodness of Fit
Tests Using Contingency Tables
Summary
Analysis of Variance
Introduction
One-Way Analysis of Variance
The Scheffeacute; Test and the Tukey Test
Two-Way Analysis of Variance
Summary
Nonparametric Statistics
Introduction
Advantages and Disadvantages of Nonparametric Methods
The Sign Test
The Wilcoxon Rank Sum Test
The Wilcoxon Signed-Rank Test
The Kruskal-Wallis Test
The Spearman Rank Correlation Coefficient and the Runs Test
Summary
Sampling and Simulation
Introduction
Common Sampling Techniques
Surveys and Questionnaire Design
Simulation Techniques
The Monte Carlo Method
Summary
Algebra Review
Writing the Research Report
Bayes's Theorem
Alternate Method for the Standard Normal Distribution
Tables
Data Bank
Glossary
Bibliography
Photo Credits
Selected Answers
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