
包邮国外很好数学著作原版系列贸易与经济中的应用统计学(第6版)(英文)

- ISBN:9787560366586
- 装帧:平装-胶订
- 册数:暂无
- 重量:暂无
- 开本:其他
- 页数:846
- 出版时间:2018-06-01
- 条形码:9787560366586 ; 978-7-5603-6658-6
本书特色
As recently as a decade ago our students used to ask us, 'How do I use st*istics Today we more oftehear, 'Why should I use st*istics' Applied St*istics iBusiness and Economics has *tempted to provide real meaning to the use of st*istics iour world by using real business situ*ions and real d*a and appealing to your need to know why r*her tha*ust how.
With over 50 yea* of teaching st*istics betweethe two of us, we feel we have something to offer. Seeing how students have changed as the new century unfolds has required us to adapt and seek out better ways of instru*ion. So we wrote Applied St*istics iBusiness and Economics to meet four distin* ob*e*ives.
Ob*e*ive 1: Com*nic*e the Metuung of Vari*ioia Business Context Vari*ioe*sts everywhere ithe world around us. Successful businesses know how to measure vari*ion. They also know how to tell whevari*ioshould be responded to and wheit should be left alone. We'll show how businesses do this.As recently as a decade ago our students used to ask us, 'How do I use st*istics Today we more oftehear, 'Why should I use st*istics' Applied St*istics iBusiness and Economics has *tempted to provide real meaning to the use of st*istics iour world by using real business situ*ions and real d*a and appealing to your need to know why r*her tha*ust how.
With over 50 yea* of teaching st*istics betweethe two of us, we feel we have something to offer. Seeing how students have changed as the new century unfolds has required us to adapt and seek out better ways of instru*ion. So we wrote Applied St*istics iBusiness and Economics to meet four distin* ob*e*ives.
Ob*e*ive 1: Com*nic*e the Metuung of Vari*ioia Business Context Vari*ioe*sts everywhere ithe world around us. Successful businesses know how to measure vari*ion. They also know how to tell whevari*ioshould be responded to and wheit should be left alone. We'll show how businesses do this.
Ob*e*ive 2: Use Real D*a and Real Business Applic*ions Examples, case studies, and problems are takefrom published research or real applic*ions whenever possible. Hypothetical d*a are used wheit seems the best way to illustr*e a concept. You causually tell the difference by examining the foo*otes citing the source.
Ob*e*ive 3:Incorpor*e Current St*istical Pra*ices and Offer Pra*ical Advice With the increased reliance o*pute*, st*istics pra*itione* have changed the way they use st*istical tools. We'll show the current pra*ices and exp*why they are used the way they are. We also will tell you wheeach technique should not be used.
Ob*e*ive 4: Provide More In-Depth Explan*ioof the Why and Let the Software Take Care of the How It is critical to unde*tand the importance of **nic*ing with d*a. Today's *puter capabilities *ke it *ch easier to sum*rize and display d*a thaever before. We demonstr*e easily *stered software techniques using the *mosoftware available. We also spend a gre* deal of time othe idea th* there are risks idecisio*king and those risks should be quantified and dire*ly considered ievery business decision.
Our experience tells us th* students want to be givecredit for the experience they bring to the college classroom, We have tried to honor this by choosing examples and exercises set isitu*ions th* will draw ostudents' already vast knowledge of the world and knowledge gained from other classes, Emphasis is othinking about d*a, choosing appropri*e analytic tools, using *pute* effe*ively, and recognizing limit*ions of st*istics.
内容简介
As recently as a decade ago our students used to ask us, "How do I use statistics? Today we more often hear, "Why should I use statistics?" Applied Statistics in Business and Economics has attempted to provide real meaning to the use of statistics in our world by using real business situations and real data and appealing to your need to know why rather than just how. With over 50 years of teaching statistics between the two of us, we feel we have something to offer. Seeing how students have changed as the new century unfolds has required us to adapt and seek out better ways of instruction. So we wrote Applied Statistics in Business and Economics to meet four distinct objectives. Objective 1: Communicate the Metuung of Variation in a Business Context Variation exists everywhere in the world around us. Successful businesses know how to measure variation. They also know how to tell when variation should be responded to and when it should be left alone. We'll show how businesses do this. Objective 2: Use Real Data and Real Business Applications Examples, case studies, and problems are taken from published research or real applications whenever possible. Hypothetical data are used when it seems the best way to illustrate a concept. You can usually tell the difference by examining the footnotes citing the source. Objective 3:Incorporate Current Statistical Practices and Offer Practical Advice With the increased reliance on computers, statistics practitioners have changed the way they use statistical tools. We'll show the current practices and explain why they are used the way they are. We also will tell you when each technique should not be used. Objective 4: Provide More In-Depth Explanation of the Why and Let the Software Take Care of the How It is critical to understand the importance of communicating with data. Today's computer capabilities make it much easier to summarize and display data than ever before. We demonstrate easily mastered software techniques using the common software available. We also spend a great deal of time on the idea that there are risks in decision making and those risks should be quantified and directly considered in every business decision. Our experience tells us that students want to be given credit for the experience they bring to the college classroom, We have tried to honor this by choosing examples and exercises set in situations that will draw on students' already vast knowledge of the world and knowledge gained from other classes, Emphasis is on thinking about data, choosing appropriate analytic tools, using computers effectively, and recognizing limitations of statistics.
目录
Overview of St*istics
CHAPTER TWO
D*a Colle*ion
CHAPTER THREE
Describing D*a Visually
CHAPTER FOUR
Descriptive St*istics
CHAPTER FIVE
Probability
CHAPTER SIX
Discrete Probability Distributions
CHAPTER SEVEN
Continuous Probability Distributions
CHAPTER EIGHT
Sampling Distributions and Esti*tion
CHAPTER NINE
One-Sample Hypothesis Tests
CHAPTER TEN
Two-Sample Hypothesis Tests
CHAPTER ELEVEN
Analysis of Variance
CHAPTER TWELTVE
Simple Regression
CHAPTER THIRTEEN
Multiple Regression
CHAPTER FOURTEEN
Time-Series Analysis
CHAPTER FIFTEEN
Chi-Square Tests
CHAPTER SIXTEEN
Nonparametric Tests
CHAPTER SEVENTEEN
Quality Management
APPENDIXES
A Binomial Probabilities
B PoissoProbabilities
C-1 Standard Nor*l Areas
C-2 Cu*l*ive Standard Nor*l Distribution
D Student's Critical Values
E Chi-Square Critical Values
F Critical Values of F10
G Solutions to Odd-Numbered Exercises
H Answe* to Exam Review Questions
I Writing and Presenting Reports
J Excel St*istical Fun*ions
INDEX
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