Description Elementary Statistics: A Step by Step Approach is the perfect general statistics text for students whose mathematical background is limited to algebra. This text is not intended for AP Statistics. The book follows a nontheoretical approach without formal proofs, explaining concepts intuitively and supporting them with abundant examples.
Key Supplements
The Student Solution Manual provides students with worked solutions to the odd exercises in Elementary Statistics: A Step by Step Approach.
For the first time we are offering ALEKS® 360 for Introduction to Statistics with Bluman, Elementary Statistics: A Step by Step Approach. This version of ALEKS is fully integrated with Elementary Statistics. It is the perfect companion to your textbook and to help students master the content of a general statistics course.
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 a nontheoretical approach without formal profs, 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, eating habits, and travel and leisure.
While a number of important changes have been made in the tenth edition, the learning system remains untouched and provides students with a useful framework in which to learn and apply concepts. Some of the retained features include the following:
Over 1800 exercises are located at the end of major sections within each chapter.
Hypothesis-Testing Summaries are found at the end of Chapter 9 (z, t, X2, and F tests for testing means, proportions, and variances), Chapter 12 (correlation, chi-square and ANOVA), and Chapter 13 (nonparametric tests) to show students the different types of hypotheses and the types of tests to use.
A Data Bank listing various attributers (educational level, cholesterol level, gender, etc.) for 100 people and several additional data sets using real data are included and referenced in various exercises and projects throughout the book.
An updated reference card containing the formulas and z, t, X2, and PPMC tables is included with this textbook.
End-of-chapter Summaries, Important Terms, and Important Formulas give students a concise summary of the chapter topics and provide a good source for quiz or test preparation.
Review Exercises are found at the end of each chapter.
Special sections called Data Analysis require students to work with a data set to perform various statistical tests or procedures and then summarize the results.
Chapter quizzes, found at the end of each chapter, include multiple-choice, true-false, and completion questions along with exercises to test students' knowledge and comprehension of chapter content.
The Appendixes provide students with extensive reference tables, a glossary, and answers to all quiz questions and odd-numbered exercises. New to this edition, the additional Online Appendixes include algebra revies, an outline for report writing, Bayes’ theorem, and an alternative method for using the standard normal distribution.
The Applying the Concepts feature is included in all sections and gives students an opportunity to think about the new concepts and apply them to examples and scenarios similar to those found in newspapers, magazines, and radio and television news programs.
Table of Contents
1 The Nature of Probability and Statistics
2 Frequency Distributions and Graphs
3 Data Description
4 Probability and Counting Rules
5 Discrete Probability Distributions
6 The Normal Distribution
7 Confidence Intervals and Sample Size
8 Hypothesis Testing
9 Testing the Difference Between Two Means, Two Proportions, and Two Variances
10 Correlation and Regression
11 Other Chi-Square Tests
12 Analysis of Variance
13 Nonparametric Statistics
14 Sampling and Simulation
Appendix A: Tables
Appendix B: Data Bank
Appendix C: Glossary
Appendix D: Selected Answers
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.