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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. The new edition features increased emphasis on the computing technologies commonly used in such coureses.
New to This Edition
Features
Author Bio
Bluman, Allan G. : Community College Allegheny County South Campus
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.
1 The Nature of Probability and Statistics
2 Frequency Distributions and Graphs
3 Data Description
4 Counting Techniques
5 Probability
6 Discrete Probability Distributions
7 The Normal Distribution
8 Confidence Intervals and Sample Size
9 Hypothesis Testing
10 Testing the Difference Between Two Means, Two Variances, and Two Proportions
11 Correlation and Regression
12 Other Chi-Square Tests
13 Analysis of Variance
14 Nonparametric Statistics
15 Sampling and Simulation
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. The new edition features increased emphasis on the computing technologies commonly used in such coureses.
New to This Edition
Features
Author Bio
Bluman, Allan G. : Community College Allegheny County South Campus
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.
Table of Contents
1 The Nature of Probability and Statistics
2 Frequency Distributions and Graphs
3 Data Description
4 Counting Techniques
5 Probability
6 Discrete Probability Distributions
7 The Normal Distribution
8 Confidence Intervals and Sample Size
9 Hypothesis Testing
10 Testing the Difference Between Two Means, Two Variances, and Two Proportions
11 Correlation and Regression
12 Other Chi-Square Tests
13 Analysis of Variance
14 Nonparametric Statistics
15 Sampling and Simulation