Elementary Statistics: A Brief Version

Allan G. Bluman is a professor emeritus at the Community College of Allegheny County, South Campus, near Pittsburgh. He has taught mathematics and statistics for over 35 years. He received an Apple for the Teacher award in recognition of his bringing excellence to the learning environment at South Campus. He has also taught statistics for Penn State University at the Greater Allegheny (McKeesport) Campus and at the Monroeville Center. He received his master's and doctor's degrees from the University of Pittsburgh. In addition to Elementary Statistics: A Step by Step Approach (Eighth Edition ©2012) and Elementary Statistics: A Brief Version (Fifth Edition ©2010), Al is a co-author on a liberal arts mathematics text published by McGraw-Hill, Math in Our World (2nd Edition ©2011). Al also the author of for mathematics books in the McGraw-Hill DeMystified Series. They are Pre-Algebra, Math Word Problems, Business Math, and Probability. Al Bluman is married and has two sons and a granddaughter.

• Elementary Statistics: A Brief Version, 8eChapter 1: The Nature of Probability and Statistics1.1, Descriptive and Inferential Statistics1.2, Variables and Types of Data1.3, Data Collection and Sampling Techniques1.4, Experimental Design1.5, Computers and CalculatorsChapter 2: Frequency Distributions and Graphs2.1, Organizing Data2.2, Histograms, Frequency Polygons, and Ogives2.3, Other Types of Graphs2.4, Paired Data and Scatter PlotsChapter 3: Data Description3.1, Measures of Central Tendency3.2, Measures of Variation3.3, Measures of Position3.4, Exploratory Data AnalysisChapter 4: Probability and Counting Rules4.1, Sample Spaces and Probability4.2, The Addition Rules for Probability4.3, The Multiplication Rules and Conditional Probability4.4, Counting Rules4.5, Probability and Counting RulesChapter 5: Discrete Probability Distributions5.1, Probability Distributions5.2, Mean, Variance, Standard Deviation, and Expectation5.3, The Binomial DistributionChapter 6: The Normal Distribution6.1, Normal Distributions6.2, Applications of the Normal Distributions6.3, The Central Limit Theorem6.4, The Normal Approximation to the Binomial DistributionChapter 7: Confidence Intervals and Sample Size7.1, Confidence Intervals7.2, Confidence Intervals for the Mean When σ Is Known7.3, Confidence Intervals for the Mean When σ Is Unknown7.4, Confidence Intervals and Sample Size for Proportions7.5, Confidence Intervals for Variances and Standard DeviationsChapter 8: Hypothesis Testing8.1, Steps in Hypothesis Testing – Traditional Method8.2, z Test for a Mean8.3, t Test for a Mean8.4, z Test for a Proportion8.5, Chi-Square Test for a Variance or Standard Deviation8.6, Additional Topics Regarding Hypothesis TestingChapter 9: Testing the Difference Between Two Means, Two Proportions, and Two Variances9.1, Testing the Difference Between Two Parameters9.2, Testing the Difference Between Two Means: Using the z Test9.3, Testing the Difference Between Two Means of Independent Samples: Using the t Test9.4, Testing the Difference Between Two Means: Dependent Samples9.5, Testing the Difference Between Two Proportions9.6, Testing the Difference Between Two VariancesChapter 10: Correlation and Regression10.1, Correlation10.2, Regression10.3, Coefficient of Determination and Standard Error of the EstimateChapter 11: Chi-Square and Analysis of Variance (ANOVA)11.1, Test for Goodness of Fit11.2, Test Using Contingency Tables11.3, Analysis of Variance (ANOVA)Appendix A: TablesAppendix B: Data BankAppendix C: GlossaryAppendix D: Selected AnswersAdditional Topics OnlineAlgebra ReviewWriting the Research ReportBayes' TheoremAlternate Approach to the Standard Normal Distribution