Elementary Statistics A Brief Version with MathZone

Name: Elementary Statistics A Brief Version with MathZone
Price: 27.75 USD
Availability: InStock
ISBN: 9780073107653

ISBN-10: 0073107654

ISBN-13: 9780073107653

Edition: 3rd 2006 (Revised)

Authors: Allan G. Bluman

List price: $90.63

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Book details

List price: $90.63
Edition: 3rd
Copyright year: 2006
Publisher: McGraw-Hill Higher Education
Binding: Hardcover
Pages: 672
Size: 7.75" wide x 9.75" long x 1.00" tall
Weight: 2.882
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…



Preface



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



Paired Data and Scatter Plots



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



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 (Sigma Known or n > 30) and Sample Size



Confidence Intervals for the Mean (Sigma Unknown and 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



Confidence Intervals and 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 Two Proportions



Summary Hypothesis Testing Summary



Correlation and Regression



Inroduction



Correlation



Regression



Coefficient of Determination and Standard Error of the Estimate



Summary



Chi-Square and Analysis of Variance (ANOVA)



Introduction



Test for Goodness of Fit



Tests Using Contingency Tables



Analysis of Variance (ANOVA)



Summary Hypothesis Testing


Summary