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简介
本书从Pearson公司引进。本书主要介绍了统计学的基本思想、基本概念和基本方法，侧重于应用。全书提供了大量来自于社会生活各个方面的实例，介绍统计方法在其中的应用。本书的一大特点是用语言描述统计学的基本思想和理论，使学习该课程不再令人生惧。在所附光盘中提供了本书所有的数据，便于学生参照书上指示在相应的软件上学习统计方法及解决相关问题。本书主要内容有：1.什么是统计学；2.怎样分析数据；3.描述性地估计；4.概率的概念；5.离散随机变量；6.正态分布；7.样本均值的抽样分布；8.单个总体均值的置信区间；9.单个总体均值的假设检验；10.两个总体均值的推断；11.总体标准差的推断；12.总体比的推断；13.X方过程；14.回归的描述性方法及相关性；15.回归和相关的推断方法；16.方差分析（ANOVA），以及所附光盘中的三个模块：1.多元回归分析；2.建立回归模型；3.实验设计和方差分析；另加一个附录：统计表格。本书叙述详尽、语言生动、遣词简易，适合于经济、管理类专业学生作为双语教材使用，也可供教师教学参考。
目录
part 1 introduction
chapter 1 the nature of statistics
part 2 descriptive statistics
chapter 2 organizing data
chapter 3 descriptive measures
part 3 prabability,random variables,and sampling distributions
chapter 4 probability concepts
chapter 5 discrete rankom variables
chapter 6 the normal distribution
chapter 7 the sampling distribution of the sample mean
part 4 inferential statistics
chapter 8 confidence intervals for one population mean
chapter 9 hypothesis tests for one population mean
chapter 10 inferences for two population means
chapter 11 inferences for population standard deviations
chapter 12 infernces for population proportions
chapter 13 chi-square procedures
part 5 regression,correlation,and anova
chapter 14 descriptive methods in regression and gorrelation
chapter 15 inferential methods in regression and correlation
. chapter 16 analysis of variance（anova）
part 6 multiple regression and model building;experimental design and anova（on the weiss stats cd）
module a multple regression analysis
module b model building in regression
module c design of experiment and analysis of variance
appendixex
appendix a statistical tables
appendix b answers to selected exercises
index
data sources
chapter 1 the nature of statistics
part 2 descriptive statistics
chapter 2 organizing data
chapter 3 descriptive measures
part 3 prabability,random variables,and sampling distributions
chapter 4 probability concepts
chapter 5 discrete rankom variables
chapter 6 the normal distribution
chapter 7 the sampling distribution of the sample mean
part 4 inferential statistics
chapter 8 confidence intervals for one population mean
chapter 9 hypothesis tests for one population mean
chapter 10 inferences for two population means
chapter 11 inferences for population standard deviations
chapter 12 infernces for population proportions
chapter 13 chi-square procedures
part 5 regression,correlation,and anova
chapter 14 descriptive methods in regression and gorrelation
chapter 15 inferential methods in regression and correlation
. chapter 16 analysis of variance（anova）
part 6 multiple regression and model building;experimental design and anova（on the weiss stats cd）
module a multple regression analysis
module b model building in regression
module c design of experiment and analysis of variance
appendixex
appendix a statistical tables
appendix b answers to selected exercises
index
data sources
Introductory statistics = 统计学导论 / 6th ed.
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