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商务统计(第二版)

商务统计(第二版)

定 价:¥32.00

作 者: (英)迈克尔·C.弗莱明(Michael C.Fleming),(英)约瑟夫·G.内利斯(Joseph G.Nellis)著
出版社: 普兰蒂斯霍尔出版公司
丛编项: 工商管理精要系列
标 签: 统计

ISBN: 9787300024585 出版时间: 1997-10-01 包装: 平装
开本: 24cm 页数: 270 字数:  

内容简介

  商业统计有何作用?如何汇总统计数据?什么是指数?什么是统计测试?什么是回归分析和相关分析?趋势变动和季节性变动应如何度量?本书对上述问题及其他有关问题作了清楚而确切的解释。对于那些接受短期培训的管理者、MBA,以及想迅速了解这一问题核心内容的教师和学生来说,都不失为极具价值的参考书。它还可以作为管理人员的藏书,以及那些有抱负的管理人员完善自己知识和技能的参考资料。

作者简介

暂缺《商务统计(第二版)》作者简介

图书目录

     Contents
   1 The essence of statistics for business
    The use of statistics
    Basic terms and concepts
    Statistics for managers
    Schematic overview of the book
    Statistical computer packages
   2 Summarizing data using tables and graphs
    The essence of descriptive tables and graphs in business
    Tables and frequency distributions
    Graphical methods of data presentation
    Use of MINITAB
    Key learning points
    Exerdses
   3 Summarizing data numerically
    The essence of descriptive summary measures in business
    Measures of location
    Measures of dispersion
    Use of MINITAB
    Key leaming points
    Exerdses
   4 Index numbers
    The essence of index numbers in business
    Price index numbers
    Quantity index numbers
    Key learning points
    Exerdses
   5 Probability
    The essence of probability in business
    Assigning probabilities
    The rules of probability
    Expectations
    Permutations and combinations
    Key learning points
    Exerdses
   6 Probability distributions
    The essence of probability distributions in business
    The binomial distribution
    The Poisson distribution
    The normal distribution
    Use of MINITAB
    Key learning points
    Exercises
   7 Using samples to make estimates
    The essence of statistical inference and estimation in business
    Sampling distributions
    Relationship between sample statistics and population parameters
    Point estimation of the population mean
    The size and measurement of the standard error of the mean
    The probability of error
    Interval estimation of the population mean
    The measurement of the standard error of the mean when cr
    is unknown
    Sampling and the t distribution
    Use of MINITAB
    Key leaming points
    Exerdses
   8 Tests of statistical hypotheses
    The essence of statistical inference and testing hypotheses in
    business
    The basic principles of hypothesis testing
    Conducting hypothesis tests
    Errors in hypothesis testing: Type 1 and Type 11 errors
    Extensions of hypothesis testing
    Use of MINITAB
    Key learning points
    Exercises
   9 Tests of goodness-of-fit and independence
    The essence of tests of goodness-of-fit and independence in
    business
    Goodness-of-fit tests
    Tests of independence
    Use of MINITAB
    Key learning points
    Exercises
   10 Simple regression and correlation analysis
    The essence of simple regression and correlation in business
    Simple regression analysis
    Simple correlation analysis
    Extensions of simple regression and correlation analysis
    Use of MINITAB
    Key learning points
    Exerdses
   11 Multiple regression and correlation analysis
    The essence of multiple regression and correlation in business
    Multiple regression analysis
    Multiple correlation analysis
    Pitfalls and limitations of multiple regression analysis
    Use of MINITAB
    Key learning points
    Exercises
   12 Analyzing time series data
    The essence of time series analysis in business
    Measurement of trend (T)
    Measurement of seasonal variation (S)
    Measurement of cyclical variation (C)
    Random variation (R)
    Key learning points
    Exercises
   Appendix A Probability distribution tables
    Al Binomial probability distribution
    A2 Poisson probability distribution
    A3 Standard normal distribution
    A4 t distribution
    A5 x distribution
    A6 F distribution
    Appendix B Computer software for statistical analysis
    Appendix C Sources of business and economic statistics
    Appendix D References for further reading
    Solutions to exercises
   Index
   

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