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Jingdong book

高等学校经济管理英文版教材:商务与经济统计(精要版)(英文版·原书第6版)

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高等学校经济管理英文版教材:商务与经济统计(精要版)(英文版·原书第6版)

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《高等学校经济管理英文版教材:商务与经济统计(精要版)(英文版·原书第6版)》是介绍统计学概念及其在商务与经济中应用的经典著作。它结合国际知名公司运用统计知识的具体实例,全面介绍了常用的数据分析方法和统计方法,向读者展示了统计学在商务与经济中的实用性。全书共有13章,涵盖了统计学的所有基本知识。每章后面都附有适量的练习,并在书后的附录中给出了部分练习的答案,可以帮助读者更加深入地理解书中的内容。
《高等学校经济管理英文版教材:商务与经济统计(精要版)(英文版·原书第6版)》适用于工商管理及其他相关专业的本科生、研究生、MBA、企业经营管理者及相关领域研究人员。
Catalogue

出版说明
作者简介
导读
前言
第1章 数据与统计
1.1 统计在商务和经济领域中的应用
1.1.1 会计
1.1.2 金融
1.1.3 营销
1.1.4 生产
1.1.5 经济
1.2 数据
1.2.1 个体、变量和观察值
1.2.2 测量尺度
1.2.3 分类数据和数值型数据
1.2.4 截面数据和时间序列数据
1.3 数据来源
1.3.1 现有资源
1.3.2 统计研究
1.3.3 数据采集误差
1.4 描述性统计
1.5 统计推断
1.6 计算机与统计分析
1.7 数据挖掘
1.8 统计实践中的道德准则
总结
关键术语
补充练习

第2章 描述性统计:表格与图形
2.1 分类数据的汇总
2.1.1 频数分布
2.1.2 相对频数分布和百分比频数分布
2.1.3 条形图和饼图
2.2 数值型数据的汇总
2.2.1 频数分布
2.2.2 相对频数分布和百分比频数分布
2.2.3 点图
2.2.4 直方图
2.2.5 累积分布
2.2.6 累积频数分布曲线
2.3 探索性数据分析:茎叶图
2.4 联列表和散点图
2.4.1 联列表
2.4.2 散点图和趋势线
总结
关键术语
重要公式
补充练习
案例1 Pelican商店
案例2 电影行业

第3章 描述统计学:数值方法
3.1 位置指标
3.1.1 平均数
3.1.2 中位数
3.1.3 众数
3.1.4 百分位数
3.1.5 四分位数
3.2 变异指标
3.2.1 极差
3.2.2 四分位距
3.2.3 方差
3.2.4 标准差
3.2.5 变异系数
3.3 分布形态、相对位置的度量以及异常值的检测
3.3.1 分布形态
3.3.2 z-分数
3.3.3 切比雪夫定理
3.3.4 经验法则
3.3.5 异常值的检测
3.4 探索性数据分析
3.4.1 五数统计
3.4.2 箱形图
3.5 两个变量间关系的度量
3.5.1 协方差
3.5.2 协方差的解释
3.5.3 相关系数
3.5.4 相关系数的解释
3.6 加权平均数和分组数据的处理
3.6.1 加权平均数
3.6.2 分组数据
总结
关键术语
重要公式
补充练习
案例一 Pelican商店
案例二 电影行业

第4章 概率论简介
4.1 试验、计数原理和概率的计算
4.1.1 计数原理、组合、排列
4.1.2 概率的计算
4.1.3 KP&L公司项目的概率计算
4.2 事件及其概率
4.3 概率的一些基本性质
4.3.1 事件的补
4.3.2 加法公式
4.4 条件概率
4.4.1 独立事件
4.4.2 乘法公式
4.5 贝叶斯定理
4.6 表格法
总结
关键术语
重要公式
补充练习
案例 汉密尔顿县的法官们

第5章 离散型概率分布
5.1 随机变量
5.1.1 离散型随机变量
5.1.2 连续型随机变量
5.2 离散型概率分布
5.3 期望和方差
5.3.1 期望
5.3.2 方差
5.4 二项分布
5.4.1 二项试验
5.4.2 马丁服装店问题
5.4.3 二项分布表的使用
5.4.4 二项分布的期望和方差
5.5 泊松分布
5.5.1 一个时间段上的例子
5.5.2 一个与长度或距离有关的例子
5.6 超几何分布
总结
关键术语
重要公式
补充练习

第6章 连续型概率分布
6.1 均匀分布
用面积度量概率
6.2 正态分布
6.2.1 正态曲线
6.2.2 标准正态分布
6.2.3 一般正态分布概率的计算
6.2.4 葛瑞尔轮胎公司的案例
6.3 二项分布的正态近似
6.4 指数分布
指数分布的概率计算
总结
关键术语
重要公式
补充练习

第7章 抽样和抽样分布
7.1 联合电气公司的抽样问题
7.2 抽样
7.2.1 从有限总体中抽样
7.2.2 从无限总体中抽样
7.3 点估计
实践指导
7.4 抽样分布简介
7.5 的抽样分布
7.5.1 的数学期望
7.5.2 的标准差
7.5.3 的抽样分布的形态
7.5.4 EAI问题中的抽样分布
7.5.5 的抽样分布的实际值
7.5.6 样本容量与的抽样分布的关系
7.6 的抽样分布
7.6.1 的数学期望
7.6.2 的标准差
7.6.3 的抽样分布的形态
7.6.4 的抽样分布的实际值
总结
关键术语
重要公式
补充练习

第8章 区间估计
8.1 总体均值的区间估计:σ已知的情形
8.1.1 边际误差和区间估计
8.1.2 实践指导
8.2 总体均值的区间估计:σ未知的情形
8.2.1 边际误差和区间估计
8.2.2 实践指导
8.2.3 利用小样本
8.2.4 区间估计过程小结
8.3 样本容量的确定
8.4 总体比率的区间估计
样本容量的确定
总结
关键术语
重要公式
补充练习
案例一 《职业青年》杂志
案例二 海湾房地产公司

第9章 假设检验
9.1 原假设和备择假设的建立
9.1.1 备择假设:有待证实的假设
9.1.2 原假设:一个受质疑的假设
9.1.3 关于原假设和备择假设形式的小结
9.2 第一类错误和第二类错误
9.3 总体均值的检验:σ已知
9.3.1 单侧(尾)检验
9.3.2 双侧检验
9.3.3 小结及实践指导
9.3.4 区间估计与假设检验的关系
9.4 总体均值的检验:σ未知
9.4.1 单尾检验
9.4.2 双尾检验
9.4.3 小结与实践指导
9.5 总体比率的检验
小结
总结
关键术语
重要公式
补充练习
案例 质量联盟有限公司

第10章 总体均值的比较、试验设计及方差分析
10.1 两总体均值差的统计推断:σ1和σ2已知
10.1.1 μ1-μ2的区间估计
10.1.2 μ1-μ2的假设检验
10.1.3 实践指导
10.2 两总体均值之差的推断:σ1和σ2未知
10.2.1 μ1-μ2的区间估计
10.2.2 μ1-μ2的假设检验
10.2.3 实践指导
10.3 两总体均值之差的推断:配对样本
10.4 实验设计和方差分析简介
10.4.1 数据收集
10.4.2 方差分析的假定
10.4.3 方差分析概述
10.5 方差分析和完全随机化设计
10.5.1 总体方差的组间估计
10.5.2 总体方差的组内估计
10.5.3 方差的不同估计的比较:F检验
10.5.4 方差分析表
10.5.5 方差分析的计算结果
10.5.6 检验k个总体均值的相等性:一项观测性研究
总结
关键术语
重要公式
补充练习
案例一 Par公司
案例二 专业销售人员的工资水平

第11章 比率的比较和独立性检验
11.1 两个总体比例之差的推断
11.1.1 p1-p2的区间估计
11.1.2 关于p1-p2的假设检验
11.2 多项分布比例的假设检验问题
11.3 独立性检验
总结
关键术语
重要公式
补充练习

第12章 简单线性回归
12.1 简单线性回归模型
12.1.1 回归模型和回归方程
12.1.2 估计的回归方程
12.2 最小二乘估计
12.3 可决系数相关系数
12.4 回归模型的假定
12.5 显著性检验
12.5.1 σ2的估计
12.5.2 t检验
12.5.3 1的置信区间
12.5.4 F检验
12.5.5 对显著性检验作解释时的注意要点
12.6 用回归方程的估计式进行估计和预测
12.6.1 点估计
12.6.2 区间估计
12.6.3 y平均值的置信区间
12.6.4 y的个别值的预测区间
12.7 残差分析:验证模型的假定条件
12.7.1 关于自变量值x的残差图
12.7.2 关于预测值的残差图
总结
关键术语
重要公式
补充练习
案例一 美国交通部
案例二 校友捐赠

第13章 多元回归
13.1 多元回归模型
13.1.1 回归模型和回归方程
13.1.2 多元回归方程的估计式
13.2 最小二乘估计
13.2.1 案例:巴特勒运输公司
13.2.2 关于回归系数解释的注释
13.3 多重可决系数
13.4 回归模型的假定
13.5 显著性检验
13.5.1 F检验
13.5.2 t检验
13.6 用回归方程的估计式进行估计和预测
总结
关键术语
重要公式
补充练习

案例一 消费者行为调研公司
案例二 校友捐赠
附录A 参考文献
附录B 统计附表
附录C 求和符号
附录D 习题解答(部分)

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Jingdong book