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Even You Can Learn Statistics轻松学统计书籍详细信息
- ISBN:9780131467576
- 作者:暂无作者
- 出版社:暂无出版社
- 出版时间:2004-09
- 页数:312
- 价格:118.50
- 纸张:胶版纸
- 装帧:平装
- 开本:暂无开本
- 语言:未知
- 丛书:暂无丛书
- TAG:暂无
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内容简介:
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 simple, 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" sections review the equations that provide the foundations 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 Champions.
Instructional designer David F. Stephan pioneered the classroom use of personal computers, and is a leader in making 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 distributions
Work with sampling distributions and confidence intervals
Test hypotheses and decision-making risks with Z, t, Chi-Square, ANOVA, and other techniques
Perform regression analysis and modeling
书籍目录:
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 Questions
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 Questions
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 Distributions
Symmetrical Shape
Left-Skewed Shape
Right-Skewed Shape
The Box-and-Whisker Plot
Important Equations
One-Minute Summary
Test Yourself
Answers to Test Yourself Questions
References
Chapter 4 Probability
4.1 Getting Started with Probability
Event
Elementary Event
……
Chapter 5 Probability Distributions
Chapter 6 Sampling Distributions 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 Applications 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 Champions.
Instructional designer David F. Stephan pioneered the classroom use of technology, and is a leader in making 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 simple, 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" sections review the equations that provide the foundations 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 Champions. Instructional designer David F. Stephan pioneered the classroom use of personal computers, and is a leader in making 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 distributions * Work with sampling distributions and confidence intervals * Test hypotheses and decision-making risks with Z, t, Chi-Square, ANOVA, and other techniques * Perform regression analysis 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
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