Elementary Statistics: A Brief Version with CD and formula card

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:  Chapter 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   Observational and Experimental Studies1.5   Uses and Misuses of Statistics1.6   Computers and Calculators            Chapter 1 Summary Chapter 2 Frequency Distributions and Graphs2.1   Organizing Data2.2   Histograms, Frequency Polygons, and Ogives2.3   Other Types of Graphs2.4   Paired Data and Scatter Plots            Chapter 2 Summary Chapter 3 Data Description            3.1 Measures of Central Tendency            3.2 Measures of Variation            3.3 Measures of Position            3.4 Exploratory Data Analysis                        Chapter 3 Summary Chapter 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                        Chapter 4 Summary Chapter 5 Discrete Probability Distributions            5.1 Probability Distributions            5.2 Mean, Variance, Standard Deviation, and Expectation            5.3 The Binomial distribution                        Chapter 5 Summary Chapter 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                        Chapter 6 Summary Chapter 7 confidence Intervals and Sample Size            7.1 Confidence Intervals for the Mean When σ Is Known            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                        Chapter 7 Summary Chapter 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   &nbs
p;        8.5 χ2 Test for a Variance or Standard Deviation            8.6 Confidence Intervals and Hypothesis Testing                        Chapter 8 Summary Chapter 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            9.3 Testing the Difference Between Two Means: Dependent Samples            9.4 Testing the Difference Between Two Variances                        Chapter 9 Summary Chapter 10 Correlation and Regression            10.1 Correlation            10.2 Regression            10.3 Coefficient of Determination and Standard Error of the Estimate                        Chapter 10 Summary Chapter 11 Chi-Square and Analysis of Variance (ANOVA)            11.1 Test for Goodness of Fit            11.2 Test Using Contingency Tables            11.3 Analysis of Variance (ANOVA)                        Chapter 11 Summary