Applied statistics with Microsoft Excel / 应用统计分析 : 使用Excel /杰拉尔德 · 凯勒著.
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作 者：Gerald Keller =
分类号：
ISBN：9787111143215
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简介
本书的作者有多年概率统计学、管理学和运筹管理学的教学经验，编写了多本畅销教材。在本书中，作者继续体现了他的"三步式"解决问题的方法，第一步是Indentify，包括试验设计、收集数据和选择模型；第二步是Compute，即用Excel做计算；第三步是Interpret，就是分析、解释计算的结果。
本书使用较少的概率知识，从各个应用层面，通过丰富的案例分析和读者自己动手的应用实例，讲解了应用统计的基本内容。本书系统地阐述了如何正确收集数据资料，如何使用MicrosoftExcel软件进行统计分析，应女口何从中得到有意义的统计结论。使用此书不需要微积分基础，只要具有高中的数学水平就可以通览全书。
此书有以下几个特点：
第一，本书更多的用形象思维与直观判断引进统计概念和方法。
第二，本书层次清楚，每段都有主要的概念和公式的小结和大量的练习题，应用题的图标分明，利于复习中提高。各章都有光盘数据的案例，有利于实例练习。
第三，本书是以MicrosoftExcel带动统计计算，毋需花费时间学习Matlab、SAS、S-Plus等软件。通过使用Excel学会做统计分析，又解除了手工计算的繁琐更多>>
目录
出版说明
序
1 WHAT IS STATISTICS?
1.1 Introduction
1.2 Key Statistical Concepts
1.3 Statistics and the Computer
1.4 World Wide Web and Learning Center
APPENDIX 1.A:Introducation to Microsoft Excel
2 GRAPHICAL DESCRIPTIVE TECHNIQUES
2.1 Introduction
2.2 Types of Data
2.3 Graphically Describing Interval Data:Frequency Distributions and Histograms
2.4 Graphically Describing Nominal Data:Bar and Pie Charts
2.5 Describing Time-Series Data:Line Charts
2.6 Describing the Relationship between Two Interval Variables:Scatter Diagrams
2.7 Summary
3 NUMERICAL DESCRIPTIVE TECHNIQUES FOR INTERVAL DATA
3.1 Introduction
3.2 Measures of Central Location
3.3 Measures of Variability
3.4 Other Measures of Shape(Optional)
3.5 Measures of Relative Standing and Box Plots
3.6 Measures of Linear Relationship
3.7 General Guidelines for Exploring Data
3.8 Summary
4 PROBABILITY
4.1 Introduction
4.2 Assigning Probability to Events
4.3 Joint,Marginal,and Conditional Probability
4.4 Probability Rules and Trees
4.5 Summary
CASE 4.1 Let's Make a Deal
CASE 4.2 To Bunt or Not to Bunt,That Is the Question
5 RANDOM VARIABLES AND DISCRETE PROBABILITY DISTRIBUTIONS
5.1 Introduction
5.2 Random Variables and Probability Distributions
5.3 Describing the Population/Probability Distribution
5.4 Binomial Distribution
5.5 Poisson Distribution
5.6 Summary
CASE 5.1 To Bunt or Not to Bunt,That Is the Question,Part Ⅱ
6 CONTINUOUS PROBABILITY DISTRIBUTIONS
6.1 Introduction
6.2 Probability Density Functions
6.3 Normal Distribution
6.4 Other Continuous Distributions
6.5 Summary
7 SAMPLING AND SAMPLING PLANS
7.1 Introduction
7.2 Sampling
7.3 Sampling Plans
7.4 Errors Involved in Sampling
7.5 Summary
8 SAMPLING DISTRIBUTIONS
8.1 Introduction
8.2 Sampling Distribution of the Mean
8.3 Creating the Sampling Distribution by Computer Simulation(Optional)
8.4 Sampling Distribution of a Proportion
8.5 Sampling Distribution of the Difference between Two Means
8.6 From Here to Inference
8.7 Summary
9 INTRODUCTION TO ESTIMATION
10 INTRODUCTION TO HYPOTHESIS TESTING
11 INFERENCE ABOUT A SINGLE POPULATION
12 INFERENCE ABOUT TWO POPULATIONS
13 STATISTICAL INFERENCE:REVIEW OF CHAPTERS 11 AND 12
14 ANALYSIS OF VARIANCE
15 CHI-SQUARED TESTS
16 NONPARAMETRIC STATISTICAL TECHNIQUES
17 SIMPLE LINEAR REGRESSION AND CORRELATION
18 MULTIPLE REGRESSION
19 STATISTICAL INFERENCE:CONCLUSION
Appendix A Sample Statistics from Data Files in Chapters 9 and 10
Appendix B Tables
Appendix C Answers to Selected Even-Numbered Exercises
Index
教辅材料申请表
序
1 WHAT IS STATISTICS?
1.1 Introduction
1.2 Key Statistical Concepts
1.3 Statistics and the Computer
1.4 World Wide Web and Learning Center
APPENDIX 1.A:Introducation to Microsoft Excel
2 GRAPHICAL DESCRIPTIVE TECHNIQUES
2.1 Introduction
2.2 Types of Data
2.3 Graphically Describing Interval Data:Frequency Distributions and Histograms
2.4 Graphically Describing Nominal Data:Bar and Pie Charts
2.5 Describing Time-Series Data:Line Charts
2.6 Describing the Relationship between Two Interval Variables:Scatter Diagrams
2.7 Summary
3 NUMERICAL DESCRIPTIVE TECHNIQUES FOR INTERVAL DATA
3.1 Introduction
3.2 Measures of Central Location
3.3 Measures of Variability
3.4 Other Measures of Shape(Optional)
3.5 Measures of Relative Standing and Box Plots
3.6 Measures of Linear Relationship
3.7 General Guidelines for Exploring Data
3.8 Summary
4 PROBABILITY
4.1 Introduction
4.2 Assigning Probability to Events
4.3 Joint,Marginal,and Conditional Probability
4.4 Probability Rules and Trees
4.5 Summary
CASE 4.1 Let's Make a Deal
CASE 4.2 To Bunt or Not to Bunt,That Is the Question
5 RANDOM VARIABLES AND DISCRETE PROBABILITY DISTRIBUTIONS
5.1 Introduction
5.2 Random Variables and Probability Distributions
5.3 Describing the Population/Probability Distribution
5.4 Binomial Distribution
5.5 Poisson Distribution
5.6 Summary
CASE 5.1 To Bunt or Not to Bunt,That Is the Question,Part Ⅱ
6 CONTINUOUS PROBABILITY DISTRIBUTIONS
6.1 Introduction
6.2 Probability Density Functions
6.3 Normal Distribution
6.4 Other Continuous Distributions
6.5 Summary
7 SAMPLING AND SAMPLING PLANS
7.1 Introduction
7.2 Sampling
7.3 Sampling Plans
7.4 Errors Involved in Sampling
7.5 Summary
8 SAMPLING DISTRIBUTIONS
8.1 Introduction
8.2 Sampling Distribution of the Mean
8.3 Creating the Sampling Distribution by Computer Simulation(Optional)
8.4 Sampling Distribution of a Proportion
8.5 Sampling Distribution of the Difference between Two Means
8.6 From Here to Inference
8.7 Summary
9 INTRODUCTION TO ESTIMATION
10 INTRODUCTION TO HYPOTHESIS TESTING
11 INFERENCE ABOUT A SINGLE POPULATION
12 INFERENCE ABOUT TWO POPULATIONS
13 STATISTICAL INFERENCE:REVIEW OF CHAPTERS 11 AND 12
14 ANALYSIS OF VARIANCE
15 CHI-SQUARED TESTS
16 NONPARAMETRIC STATISTICAL TECHNIQUES
17 SIMPLE LINEAR REGRESSION AND CORRELATION
18 MULTIPLE REGRESSION
19 STATISTICAL INFERENCE:CONCLUSION
Appendix A Sample Statistics from Data Files in Chapters 9 and 10
Appendix B Tables
Appendix C Answers to Selected Even-Numbered Exercises
Index
教辅材料申请表
Applied statistics with Microsoft Excel / 应用统计分析 : 使用Excel /杰拉尔德 · 凯勒著.
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