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 ï¿2012) and Elementary Statistics: A Brief Version (Fifth Edition ï¿2010), Al is a co-author on a liberal arts mathematics text published by McGraw-Hill, Math in Our World (2nd Edition ï¿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.

Table of Contents—Bluman Brief 5e 1: The Nature of Probability and Statistics 1.1 Descriptive and Inferential Statistics 1.2 Variables and Types of Data 1.3 Data Collection and Sampling Techniques 1.4 Observational and Experimental Studies 1.5 Uses and Misuses of Statistics 1.6 Computers and Calculators 2: Frequency Distributions and Graphs 2.1 Organizing Data 2.2 Histograms, Frequency Polygons, and Ogives 2.3 Other Types of Graphs 2.4 Paired Data and Scatter Plots 3: Data Description 3.1 Measures of Central Tendency 3.2 Measures of Variation 3.3 Measures of Position 3.4 Exploratory Data Analysis 4: Probability and Counting Rules 4.1 Sample Spaces and Probability 4.2 The Addition Rules for Probability 4.3 The Multiplication Rules and Conditional Probability 4.4 Counting Rules 4.5 Probability and Counting Rules 5: Discrete Probability Distributions 5.1 Probability Distributions 5.2 Mean, Variance, Standard Deviation, and Expectation 5.3 The Binomial Distribution 6: The Normal Distribution 6.1 Normal Distributions 6.2 Applications of the Normal Distribution 6.3 The Central Limit Theorem 6.4 The Normal Approximation to the Binomial Distribution 7: Confidence Intervals and Sample Size 7.1 Confidence Intervals for the Mean When σ Is Known and Sample Size 7.2 Confidence Intervals for the Mean When σ Is Unknown 7.3 Confidence Intervals and Sample Size for Proportions 7.4 Confidence Intervals for Variances and Standard Deviations 8: Hypothesis Testing 8.1 Steps in Hypothesis Testing – Traditional Method 8.2 z Test for a Mean 8.3 t Test for a Mean 8.4 z Test for a Proportion 8.5 Chi-Square Test for a Variance or Standard Deviation 8.6 Confidence Intervals and Hypothesis Testing 9: Testing the Difference Between Two Means, Two Proportions, and Two Variances 9.1 Testing the Difference Between Two Means: Using the z Test 9.2 Testing the Difference Between Two Means of Independent Samples: Using the t Test 9.3 Testing the Difference Between Two Means: Dependent Samples 9.4 Testing the Difference Between Proportions 9.5 Testing the Difference Between Two Variances 10: Correlation and Regression 10.1 Correlation 10.2 Regression 10.3 Coefficient of Determination and Standard Error of the Estimate 11: Chi-Square and Analysis of Variance (ANOVA) 11.1 Test for Goodness of Fit 11.2 Tests Using Contingency Tables 11.3 Analysis of Variance (ANOVA) Appendix A: Algebra Review Appendix B-1: Writing the Research Report Appendix B-2: Alternate Approach to the Standard Normal Distribution Appendix C: Tables Appendix D: Data Bank Appendix E: Glossary Appendix F: Bibliography Appendix G: Photo Credits Appendix H: Selected Answers