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Even You Can Learn StatisticsA Guide for Everyone Who Has Ever Been Afraid Of Statistics

One easy step at a time, this book will teach you the key statistical techniques you'll need for finance, quality, marketing, the social sciences, or just about any other field. Each technique is introduced with a ***, jargon-free explanation, practical examples, and hands-on guidance for solving real problems with Excel or a TI-83/84 series calculator, including Plus models. Hate math? No sweat. You'll be amazed how little you need! For those who do have an interest in mathematics, optional "Equation Blackboard" secti*** review the equati*** that provide the foundati*** for important concepts.

David M. Levine is a much-honored innovator in statistics education. He is Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch College (CUNY), and co-author of several best-selling books, including Statistics for Managers using Microsoft Excel, Basic Business Statistics, Quality Management, and Six Sigma for Green Belts and Champi***.

Instructional designer David F. Stephan pioneered the classroom use of personal computers, and is a leader in *** Excel more accessible to statistics students. He has co-authored several textbooks with David M. Levine.

Here's just some of what you'll learn how to do...

Use statistics in your everyday work or study

Perform common statistical tasks using a Texas Instruments statistical calculator or Microsoft Excel

Build and interpret statistical charts and tables

"Test Yourself" at the end of each chapter to review the concepts and methods that you learned in the chapter

Work with mean, median, mode, standard deviation, Z scores, skewness, and other de*ive statistics

Use probability and probability distributi***

Work with sampling distributi*** and confidence intervals

Test hypotheses and decision-*** risks with Z, t, Chi-Square, ANOVA, and other techniques

Perform regression ***ysis and modeling

Introduction

Chapter 1 Fundamentals of Statistics

　1.1　The Five Basic Words of Statistics

　　Population

　　Sample

　　Parameter

　　Statistic

　　Variable

　1.2　The Branches of Statistics

　　Descriptive Statistics

　　Inferential Statistics

　1.3　Sources of Data

　　Published Sources

　　Experiments

　　Surveys

　1.4　Sampling Concepts

　　Sampling

　　Probability Sampling

　　Simple Random Sampling

　　Frame

　1.5　Sample Selection Methods

　　Sampling With Replacement

　　Sampling Without Replacement

　One-Minute Summary

　Test Yourself

　Answers to Test Yourself Questi***

　References

Chapter 2 Presenting Data in Charts and Tables

　2.1　Presenting Categorical Data

　　The Summary Table

　　The Bar Chart

　　The Pie Chart

　　The Pareto Diagram

　　TABLE OF CONTENTS

　　Two-Way Cross-Classification Tables

　2.2　Presenting Numerical Data

　　The Frequency and Percentage Distribution

　　Histogram

　　The Dot Scale Diagram

　　The Time-Series Plot

　　The Scatter Plot

　2.3　Misusing Graphs

　　One-Minute Summary

　　Test Yourself

　　Answers to Test Yourself Questi***

　　References

Chapter 3 Descriptive Statistics for Numerical Variables

　3.1　Measures of Central Tendency

　　The Mean

　　The Median

　　The Mode

　　Quartiles

　3.2　Measures of Variation

　　The Range

　　The Variance and the Standard Deviation

　　Standard (Z) Scores

　3.3　Shape of Distributi***

　　Symmetrical Shape

　　Left-Skewed Shape

　 Right-Skewed Shape

　 The Box-and-Whisker Plot

Important Equati***

One-Minute Summary

Test Yourself

Answers to Test Yourself Questi***

References

Chapter 4 Probability

4.1　Getting Started with Probability

Event

　　Elementary Event

……

Chapter 5 Probability Distributi***

Chapter 6 Sampling Distributi*** and Confidence Intervals

Chapter 7 Fundamentals of Hypothesis Tesing

Chapter 8 Hypothesis Tesing:Z and t Tests

Chapter 9 Hypothesis Testing:Chi-Square Tests and the One-Way Analysis of Variance (ANOVA)

Chapter 10 Regression Analysis

Chapter 11 Quality and Six Sigma Management Applicati*** of Statistica

Appendix A TI Statistical Calchlator Setting and Microsoft Excel Settings

Appendix B Review of Arithmetic and Algebra

Appendix C Statistical Tables

Appendix D Using Microsoft Excel Wizards

Glossary

Index

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作者简介：

David M. Levine is one of the world's leading innovators in statistics education. He is Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch College (CUNY), and co-author of several best-selling books, including Statistics for Managers using Microsoft Excel, Quality Management, and Six Sigma for Green Belts and Champi***.

　　Instructional designer David F. Stephan pioneered the classroom use of technology, and is a leader in *** Excel more accessible to statistics students. He has co-authored several textbooks with David M. Levine.

书籍介绍

Even You Can Learn StatisticsA Guide for Everyone Who Has Ever Been Afraid Of Statistics One easy step at a time, this book will teach you the key statistical techniques you'll need for finance, quality, marketing, the social sciences, or just about any other field. Each technique is introduced with a ***, jargon-free explanation, practical examples, and hands-on guidance for solving real problems with Excel or a TI-83/84 series calculator, including Plus models. Hate math? No sweat. You'll be amazed how little you need! For those who do have an interest in mathematics, optional "Equation Blackboard" secti*** review the equati*** that provide the foundati*** for important concepts. David M. Levine is a much-honored innovator in statistics education. He is Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch College (CUNY), and co-author of several best-selling books, including Statistics for Managers using Microsoft Excel, Basic Business Statistics, Quality Management, and Six Sigma for Green Belts and Champi***. Instructional designer David F. Stephan pioneered the classroom use of personal computers, and is a leader in *** Excel more accessible to statistics students. He has co-authored several textbooks with David M. Levine. Here's just some of what you'll learn how to do...* Use statistics in your everyday work or study * Perform common statistical tasks using a Texas Instruments statistical calculator or Microsoft Excel * Build and interpret statistical charts and tables * "Test Yourself" at the end of each chapter to review the concepts and methods that you learned in the chapter * Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics * Use probability and probability distributi*** * Work with sampling distributi*** and confidence intervals * Test hypotheses and decision-*** risks with Z, t, Chi-Square, ANOVA, and other techniques * Perform regression ***ysis and modeling The easy, practical introduction to statistics--for everyone! Thought you couldn't learn statistics? Think again. You can--and you will! Complementary Web site Downloadable practice files at http://www.ftpress.com/youcanlearnstatistics