Description Elementary Statistics: A Step by Step Approach was written as an aid in the beginning statistics course to students whose mathematical background is limited to basic algebra. The book follows s a nontheoretical approach without formal proofs, explaining concepts intuitively and supporting them with abundant examples. The applications span a broad range of topics certain to appeal to the interests of students of diverse backgrounds, and they include problems in business, sports, health, architecture, education, entertainment, political science, psychology, history, criminal justice, the environment, transportation, physical sciences, demographics, and travel and leisure.
Global Changes
Replaced over 100 examples with new or updated ones and over 550 new or updated exercises.
Updated the Technology Tips sections.
Renumbered statistical tables in the Appendix A.
Most exercises include the TI answers along with the answers that use the tables in the book.
Chapter Changes
Chapter 1
New Statistics Today example.
New statistical examples to introduce how statistics are used today.
Chapter 2
Updated Statistics Today example.
Chapter 5
Section 5-3 now includes solving problems using the combination formula in addition to the binomial formula.
Chapters 7, 8, and 9
These chapters have been revised to allow professors who want to teach proportions before means to do so. They should cover the first sections of these chapters and then skip to the proportions sections, and then do the means sections. For those who prefer to teach means before proportions, just follow the sequence of the book.
Chapters 8, 9, 10, 11, and 12
These chapters allow professors to teach hypothesis testing using the P-value. It should be noted that some P-values obtained by technology may differ from those in the book since the calculations of P-values depend on the number of decimal places the technology uses to compute the test values.
Table of Contents
CHAPTER 1: The Nature of Probability and Statistics
CHAPTER 2: Frequency Distributions and Graphs
CHAPTER 3: Data Description
CHAPTER 4: Probability and Counting Rules
CHAPTER 5: Discrete Probability Distributions
CHAPTER 6: The Normal Distribution
CHAPTER 7: Confidence Intervals and Sample Size
CHAPTER 8: Hypothesis Testing
CHAPTER 9: Testing the Difference Between Two Means, Two Proportions, and Two Variances
CHAPTER 10: Correlation and Regression
CHAPTER 11: Other Chi-Square Tests
CHAPTER 12: Analysis of Variance
CHAPTER 13: Nonparametric Statistics
CHAPTER 14: Sampling and Simulation
Appendix A: Tables
Appendix B: Data Bank
Appendix C: Glossary
Appendix D: Selected Answers
Appendix E: Important Formulas
Allan Bluman
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.