chap01-商务统计学

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商务统计学第二章

商务统计学第二章

统简
普整
计单
报随
表机
查群
典 分



查 层

抽样调查(sampling survey)
1.简单随机抽样又叫做纯随机抽样,是指从总体N个单位中 抽取n个单位组成的样本,保证每一个单位被抽到的可能性完 全相等的一种抽样方法。
简单随机样本的抽取可以有多种具体办法,抽签、摸球都 是基本的做法。
抽样调查(sampling survey)
Sampling
Survey
抽样调查(sampling survey)
1.样本单位是按随机原则抽取的 2.目的是用样本数据推断总体的数量特征 3.误差是不可避免的,但可以计算和控制
具有经济性、时效性强、适 应面广、准确性高等特点。
☺ ☺
☺ ☺☺
☺☺
总体
随机样本
☺☺
抽样调查(sampling survey) 抽样调查
商务统计学
第二章
全面调查
1. 普查 2. 统计报表
全面调查
全面调查是指凡属于调查对象的所有单位都逐一接受 调查,具体方式有普查、统计报表等;非全面调查则是仅 就调查对象中的部分单位进行调查,常见方式有抽样调查、 典型调查和重点调查等。
普查(census)
普查是为了某种特定的目的而专门组织的一次性或周期性的 全面调查,用以搜集重要国情国力和资源状况的全面资料,为政 府制定规划、方针政策提供依据。
4. 等距抽样(机械抽样、系统抽样): 将总体各单位按某一标志排队, 按一定的间隔抽取样本单位。
排队: 无标志排队:如对人按姓氏笔划排队; 有标志排队:如调查收入时,按收入水平排队。
第1个样本的位置: 无标志排队:在第一间隔内抽取; 有标志排队:从第一间隔内中间位置抽取。

商务统计章节知识点总结

商务统计章节知识点总结

商务统计章节知识点总结第一章:统计学基础概念1.1 统计学的概念和作用统计学是一门研究数据收集、整理、分析和解释的学科,通过统计学的方法可以对数据进行分析和推断,以便做出科学决策。

在商务领域,统计学可以帮助企业分析市场、预测销售和制定营销策略。

1.2 统计学的基本原理统计学的基本原理包括总体和样本、变量、数据类型、测度尺度等内容。

理解这些基本原理对于进行商务统计分析非常重要。

1.3 统计学的应用范围统计学在商务领域有广泛的应用,包括市场调研、销售预测、风险评估、财务分析等方面。

第二章:数据类型和数据收集2.1 数据的类型数据可以分为定量数据和定性数据,定量数据可以进一步分为禺式数据和顺序数据,定性数据可以进一步分为名义数据和区间数据。

理解不同类型的数据对于选择合适的统计分析方法非常重要。

2.2 数据的收集方法数据的收集方法包括问卷调查、访谈、实地观察、记录和外部数据收集等。

在商务统计分析中,选择合适的数据收集方法对于数据的质量至关重要。

第三章:统计描述与概率分布3.1 描述统计描述统计是对数据进行整理、描述、总结和展示的过程,包括中心位置测度、离散程度测度、分布形态测度等内容。

在商务统计分析中,描述统计可以帮助我们了解数据的特征和规律。

3.2 概率分布概率分布描述了随机变量的取值及其对应的概率,包括离散型概率分布和连续型概率分布。

在商务统计分析中,概率分布可以帮助我们理解不同变量之间的关系和规律。

第四章:抽样与估计4.1 抽样方法抽样是指从总体中选取样本的过程,常用的抽样方法包括简单随机抽样、分层抽样、整群抽样和多阶段抽样等。

在商务统计分析中,选择合适的抽样方法对于大规模数据的分析非常重要。

4.2 估计估计是根据样本数据对总体参数进行估计的过程,包括点估计和区间估计两种方法。

在商务统计分析中,通过估计可以得到总体参数的近似值,用于制定决策和预测。

第五章:假设检验与单因素方差分析5.1 假设检验假设检验是用来检验统计结论的正确性的方法,包括参数假设检验和非参数假设检验两种方法。

商务统计学

商务统计学
切取值的次数分布在直角坐标系内的集中位置, 可以用来反映随机变量分布密度曲线的中心位 置,即对称中心或尖峰位置。
二、分布中心测度指标
用来测度随机变量次数分布中心的 指标可以有多种,其中在统计分析推断 中常用的主要有算术平均数、中位数和 众数等几种。
(一)算术平均数
1、定义——算术平均数又称算术均值,是 随机变量的所有观测值总和与观测值个 数的比值。
(一)两点分布
假设总体中有两类共N个个体,其中取 值为“是”的有N1个,取值为“非”的有N0 个,则有:
P x 1 N 1 p
N
Px 0 N 0 q
N
(二)二项分布
假设在0-1分布总体中,取“是”值的 个体比例为p,取“非”值的比例为q,现 从中有放回地随机抽取n个个体,记X为取 “是”值的个体数目,则其中恰有n1个个 体取“是”值、且有n0=n-n1个个体取“非” 值的概率为:
第一章 绪论
➢一、统计学的性质 ➢二、统计学的作用 ➢三、统计学的基本概念 ➢四、统计指标体系的设计
一、统计学的性质
• (一)统计活动的内容与阶段 • 对各种数据资料的搜集、整理、分析和推断的
活动过程称为统计活动,一项完整的统计活动过程 可分为统计资料的搜集整理和统计资料的分析推断 两大阶段。 • (二)统计学的定义与分科 • 统计学就是关于数据资料的搜集、整理、分析 和推断的科学。关于统计资料的搜集整理和分析推 断的理论与方法构成了统计学的全部内容。 • (1)理论统计学与应用统计学 • (2)描述统计学与推断统计学
P x n 1 C n n 1p n 1 q n 0
(三)超几何分布
假设0-1总体中共有N个个体,其中取
“是”值的个体有N1个,取“非”值的 个体有N0个。现从不放回地随机抽取n个 个体,记x为取“是”值的个体数目,则

商务统计学第一章

商务统计学第一章
商务统计学第一章
xx年xx月xx日
contents
目录
• 引言 • 商务统计学基本概念 • 数据类型与数据收集 • 数据的整理与可视化 • 概率论基础
contents
目录
• 统计推断基础 • 相关分析与回归分析 • 时间序列分析与预测 • 统计决策理论
01
引言
课程简介
商务统计学是统计学在商业和经济领域的应用,旨在培养学 生在商业和经济领域运用统计学方法解决实际问题的能力。
统计学的发展经历了描述性统计学、推断性 统计学和现代统计学三个阶段。
描述性统计学主要是对数据进行描述性统计 指标的计算和数据的可视化,推断性统计学 主要是通过样本信息对总体进行推断和分析 ,现代统计学则涉及到数据挖掘、机器学习
、时间序列分析等多个方面。
02
商务统计学基本概念
统计学的定义
统计学是一门收集、整理、分析和 解释数据的科学。
基于一组变量预测另一个变量的值。
选择变量、收集数据、建立模型、检 验模型、应用模型。
03
回归分析的基本假设
线性关系、误差项独立同分布、误差 项无序列相关性、解释变量与误差项 无多重共线性。
线性回归模型
线性回归模型的定义
一种用于预测的模型,将解释变 量与响应变量之间的关系建模为 线性关系。
线性回归模型的参数 估计
数据收集的方法
调查问卷
通过邮寄、网络或现场发放问卷, 收集相关数据
观察法
记录现场观察到的数据,如销售额 、客流量等
实验法
通过实验来测试不同因素对变量的 影响,如A/B测试
现有统计数据
从政府、企业或第三方机构获取相 关统计数据
数据收集的步骤
01

商务统计学知识要点

商务统计学知识要点

商务统计学知识要点
一、统计资料。

指通过统计工作取得的、用来反映社会经济现象的数据资料的总称。

统计工作所取得的各项数字资料及有关文字资料,一般反映在统计表、统计图、统计手册、统计年鉴、统计资料汇编和统计分析报告中。

也称统计信息,是反映一定社会经济现象总体或自然现象总体的特征或规律的数字资料、文字资料、图表资料及其他相关资料的总称。

包括刚刚调查取得的原始资料和经过一定程度整理、加工的次级资料,其形式有:统计表、统计图、统计年鉴、统计公报、统计报告和其他有关统计信息的载体。

二、统计科学。

也称统计学,是统计工作经验的总结和理论概括,是系统化的知识体系。

指研究如何搜集、整理和分析统计资料的理论与方法。

统计学是应用数学的一个分支,主要通过利用概率论建立数学模型,收集所观察系统的数据,进行量化的分析、总结,并进而进行推断和预测,为相关决策提供依据和参考。

它被广泛的应用在各门学科之上,从物理和社会科学到人文科学,甚至被用来工商业及政客用来研究参考。

《商务统计学》总论

《商务统计学》总论
在抽样调查中,被调查者因为种种原因 没有对调查做出反应(或回答),这种 误差称为未响应误差(nonresponse error)。
而另外一些人因为各种原因回答时并没 有真实反映他们的观点,这称为响应误 差(response error)。
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1.5 描述统计和统计推断 1.5.1 描述统计
描述统计(descriptive statistics) 是指如何从已知的观察资料中,搜集、 整理、分析、研究并提供统计资料的理 论和方法,用以说明研究对象的情况或 特征。
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(2)二手数据 来源于国家统计局出版的统计汇编刊物
,以及其他政府机构及研究部门出版的 统计资料汇编刊物,如《中国统计年鉴 》、《中国证券统计年鉴》等。 来源于国际组织和外国政府公布的,或 由权威统计机构公开发表的资料及汇编 ,如《联合国统计年鉴》等。
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1.4.2 总体和样本
总体(population)是根据一定目的确 定的所要研究对象的全体。
而专门组织的一次性的全面调查。
12
定期统计报表是收集统计资料的一种主 要方式。它是按照国家有关规定,自上 而下布置调查任务,自下而上逐级按照 统一要求提供统计资料的一种报告制度 。
抽样调查(sample survey)是从全部调 查研究对象中,抽选一部分单位进行调 查,并据以对全部调查研究对象做出估 计和推断的一种调查方法。
描述统计是统计推断的前提,而统计推 断是描述统计的发展。
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搜集数据资料的目的主要是为了认识总 体的情况。但是,由于时效、费用和其 他条件的制约,无法得到总体的全部资 料,而是只能从总体中抽取一部分元素 构成样本,通过对样本数据的搜集和分 析,进而上升到对总体的认识。
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1 总论

商务统计学

商务统计学

1,统计描述是统计分析的最基本内容,是指应用统计指标、统计表、统计图等方法,对资料的数量特征及其分布规律进行测定和描述;而统计推断是指通过抽样等方式进行样本估计总体特征的过程,包括参数估计和假设检验两项内容统计是对社会自然现象客观存在的现实数量方面进行搜集、整理和分析的活动过程。

推断统计是统计的方法之一,统计的方法大致如下:(1、大量观察法大量观察法指统计研究社会经济现象和过程,要从总体上加以考察,就总体中的全部或足够多数的单位进行调查观察并加以综合研究。

统计调查中的普查、统计报表、抽样调查、重点调查等都是观察研究对象的大量单位,来了解社会经济现象发展情况的。

(2、综合分析法综合分析法是指对于大量观察所获得的资料,运用多种综合指标以反映总体一般数量特征。

运用分组法,以显示现象的不类型。

在分组的基础上,运用多种数量分析方法探讨总体内部的各种数量关系。

(3、归纳推断法即统计推断法,指以一定的置信标准要求,根据样本数据来判断总体数量特征的归纳推理方法。

2, 连续型数据是有规律的,离散型数据是没有规律的3,。

多边形图和直方图的形状一样,但是用线而不是条柱连接频率,多边形图和直方图相似。

不同的是:不是用条柱而是用点表示个数,用线连拉这些点,结果分布形状的轮廓是多边形。

有时多边形图也被称为直方图,尤其当数据很多以致线条变得平滑时4,. 条形:体现每组中的具体数据易比较数据之间的差别,轴标签过长。

显示的数值是持续型的..帕累托图是进行优化和改进的有效工具,尤其应用在质量检测方面。

饼图仅排列在工作表的一列或一行中的数据可以绘制到饼图中。

饼图显示一个数据系列,要绘制的数值没有负值。

要绘制的数值几乎没有零值。

类别数目无限制。

工作中如果遇到需要计算总费用或金额的各个部分构成比例的情况,可以使用一种饼形图表工具,能够直接以图形的方式直接显示各个组成部分所占比例,更为重要的是,由于采用图形的方式,更加形象直观。

5,众数是一组数据中出现次数最多的标志值,用M0表示。

商务统计学ppt课件

商务统计学ppt课件

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统计的应用领域
hydrology(水文学)
industry(工学)
linguistics(语言学)
literature(文学)
manpower planning(劳动力计划)
management science(管理科学)
marketing(市场营销学)
medical diagnosis(医学诊断)

离散变量:取有限个值 连续变量:可以取无穷多个值
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统计中的几个基本概念
总体(参数) 平均数 μ 标准差 σ 比例 Π
样本(统计量) ¯x s p
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几个常用的统计软件 (software)
典型的统计软件
SAS SPSS MINITAB STATISTICA EXCEL
所研究的全部元素的集合,其中的每一个元素称为 个体
分为有限总体和无限总体
有限总体的范围能够明确确定,且元素的数目是有限的 无限总体所包括的元素是无限的,不可数的
2、样本(sample)
从总体中抽取的一部分元素的集合 构成样本的元素的数目称为样本容量
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参数和统计量
1、参数(parameter)
商务统计学 Business Statistics
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参考书籍:
• 商务统计学 戴维.M.莱文等著 贾俊平改编

中国人民大学出版社
• 统计学原理 谢启南 主编 暨南大学出版社
• 统计学原理 贾俊平 中国人民大学出版社
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成绩评定方法
• 1.闭卷考试成绩(70%) • 2.平时作业、考勤和上机。(30%)
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CHAPTER 1: INTRODUCTION AND DATA COLLECTION1.The process of using sample statistics to draw conclusions about true population parameters iscalleda)statistical inference.b)the scientific method.c)sampling.d)descriptive statistics.ANSWER:aTYPE: MC DIFFICULTY: EasyKEYWORDS: inferential statistics2.Those methods involving the collection, presentation, and characterization of a set of data inorder to properly describe the various features of that set of data are calleda)statistical inference.b)the scientific method.c)sampling.d)descriptive statistics.ANSWER:dTYPE: MC DIFFICULTY: EasyKEYWORDS: descriptive statistics3.The collection and summarization of the socioeconomic and physical characteristics of theemployees of a particular firm is an example ofa)inferential statistics.b)descriptive statistics.c) a parameter.d) a statistic.ANSWER:bTYPE: MC DIFFICULTY: EasyKEYWORDS: descriptive statistics4.The estimation of the population average family expenditure on food based on the sampleaverage expenditure of 1,000 families is an example ofa)inferential statistics.b)descriptive statistics.c) a parameter.d) a statistic.ANSWER:aTYPE: MC DIFFICULTY: EasyKEYWORDS: inferential statistics5.The universe or "totality of items or things" under consideration is calleda) a sample.b) a population.c) a parameter.d) a statistic.ANSWER:bTYPE: MC DIFFICULTY: EasyKEYWORDS: population6. The portion of the universe that has been selected for analysis is calleda) a sample.b) a frame.c) a parameter.d) a statistic.ANSWER:aTYPE: MC DIFFICULTY: EasyKEYWORDS: sample7. A summary measure that is computed to describe a characteristic from only a sample of thepopulation is calleda) a parameter.b) a census.c) a statistic.d)the scientific method.ANSWER:cTYPE: MC DIFFICULTY: EasyKEYWORDS: statistic8. A summary measure that is computed to describe a characteristic of an entire population is calleda) a parameter.b) a census.c) a statistic.d)the scientific method.ANSWER:aTYPE: MC DIFFICULTY: EasyKEYWORDS: parameter9.Which of the following is most likely a population as opposed to a sample?a)respondents to a newspaper survey.b)the first 5 students completing an assignment.c)every third person to arrive at the bank.d)registered voters in a county.ANSWER:dTYPE: MC DIFFICULTY: ModerateKEYWORDS: population, sample10.Which of the following is most likely a parameter as opposed to a statistic?a)The average score of the first five students completing an assignment.b)The proportion of females registered to vote in a county.c)The average height of people randomly selected from a database.d)The proportion of trucks stopped yesterday that were cited for bad brakes. ANSWER:bTYPE: MC DIFFICULTY: ModerateKEYWORDS: parameter, statistic11.Which of the following is not an element of descriptive statistical problems?a)An inference made about the population based on the sample.b)The population or sample of interest.c)Tables, graphs, or numerical summary tools.d)Identification of patterns in the data.ANSWER:aTYPE: MC DIFFICULTY: ModerateKEYWORDS: descriptive statistics12. A study is under way in Yosemite National Forest to determine the adult height of Americanpine trees. Specifically, the study is attempting to determine what factors aid a tree in reaching heights greater than 60 feet tall. It is estimated that the forest contains 25,000 adult American pines. The study involves collecting heights from 250 randomly selected adult American pine trees and analyzing the results. Identify the population from which the study was sampled.a)The 250 randomly selected adult American pine trees.b)The 25,000 adult American pine trees in the forest.c)All the adult American pine trees taller than 60 feet.d)All American pine trees, of any age, in the forest.ANSWER:bTYPE: MC DIFFICULTY: ModerateKEYWORDS: population, sample13.A study is under way in Yosemite National Forest to determine the adult height of American pinetrees. Specifically, the study is attempting to determine what factors aid a tree in reaching heights greater than 60 feet tall. It is estimated that the forest contains 25,000 adult American pines. The study involves collecting heights from 250 randomly selected adult American pine trees and analyzing the results. Identify the variable of interest in the study.a)The age of an American pine tree in Yosemite National Forest.b)The height of an American pine tree in Yosemite National Forest.c)The number of American pine trees in Yosemite National Forest.d)The species of trees in Yosemite National Forest.ANSWER:bTYPE: MC DIFFICULTY: EasyKEYWORDS: data, sampling14.A study is under way in Yosemite National Forest to determine the adult height of American pinetrees. Specifically, the study is attempting to determine what factors aid a tree in reaching heights greater than 60 feet tall. It is estimated that the forest contains 25,000 adult American pines. The study involves collecting heights from 250 randomly selected adult American pine trees and analyzing the results. Identify the sample in the study.a)The 250 randomly selected adult American pine trees.b)The 25,000 adult American pine trees in the forest.c)All the adult American pine trees taller than 60 feet.d)All American pine trees, of any age, in the forest.ANSWER:aTYPE: MC DIFFICULTY: EasyKEYWORDS: population, sample15.Most analysts focus on the cost of tuition as the way to measure the cost of a college education.But incidentals, such as textbook costs, are rarely considered. A researcher at DrummandUniversity wishes to estimate the textbook costs of first-year students at Drummand. To do so, she monitored the textbook cost of 250 first-year students and found that their average textbook cost was $300 per semester. Identify the population of interest to the researcher.a)All Drummand University students.b)All college students.c)All first-year Drummand University students.d)The 250 students that were monitored.ANSWER:cTYPE: MC DIFFICULTY: EasyKEYWORDS: population, sample16.Most analysts focus on the cost of tuition as the way to measure the cost of a college education.But incidentals, such as textbook costs, are rarely considered. A researcher at DrummandUniversity wishes to estimate the textbook costs of first-year students at Drummand. To do so, she monitored the textbook cost of 250 first-year students and found that their average textbook cost was $300 per semester. Identify the variable of interest to the researcher.a)The textbook cost of first-year Drummand University students.b)The year in school of Drummand University students.c)The age of Drummand University students.d)The cost of incidental expenses of Drummand University students.ANSWER:aTYPE: MC DIFFICULTY: EasyKEYWORDS: data, sampling17.Most analysts focus on the cost of tuition as the way to measure the cost of a college education.But incidentals, such as textbook costs, are rarely considered. A researcher at DrummandUniversity wishes to estimate the textbook costs of first-year students at Drummand. To do so, she monitored the textbook cost of 250 first-year students and found that their average textbook cost was $300 per semester. Identify the sample in the study.a)All Drummand University students.b)All college students.c)All first-year Drummand University students.d)The 250 students that were monitored.ANSWER:dTYPE: MC DIFFICULTY: EasyKEYWORDS: population, sample18.Researchers suspect that the average number of units earned per semester by college students isrising. A researcher at Calendula College wishes to estimate the number of units earned by students during the spring semester at Calendula. To do so, he randomly selects 100 student transcripts and records the number of units each student earned in the spring term. He found that the average number of semester units completed was 12.96 units per student. Identify thepopulation of interest to the researcher.a)All Calendula College students.b)All college students.c)All Calendula College students enrolled in the spring.d)All college students enrolled in the spring.ANSWER:cTYPE: MC DIFFICULTY: ModerateKEYWORDS: population, sample19.The average number of units earned per semester by college students is suspected to be rising. Aresearcher at Calendula College wishes to estimate the number of units earned by students during the spring semester at Calendula. To do so, he randomly selects 100 student transcripts andrecords the number of units each student earned in the spring term. Identify the variable ofinterest to the researcher.a)The number of students enrolled at Calendula College during the spring term.b)The average indebtedness of Calendula College students enrolled in the spring.c)The age of Calendula College students enrolled in the spring.d)The number of units earned by Calendula College students during the spring term. ANSWER:dTYPE: MC DIFFICULTY: EasyKEYWORDS: data, sampling20.Jared was working on a project to look at global warming and accessed an Internet site where hecaptured average global surface temperatures from 1866. Which of the four methods of data collection was he using?a)Published sourcesb)Experimentationc)Surveyingd)ObservationANSWER:aTYPE: MC DIFFICULTY: EasyKEYWORDS: sources of data21.The British Airways Internet site provides a questionnaire instrument that can be answeredelectronically. Which of the 4 methods of data collection is involved when people complete the questionnaire?a)Published sourcesb)Experimentationc)Surveyingd)ObservationANSWER:cTYPE: MC DIFFICULTY: EasyKEYWORDS: sources of data22.A marketing research firm, in conducting a comparative taste test, provided three types of peanutbutter to a sample of households randomly selected within the state. Which of the 4 methods of data collection is involved when people are asked to compare the three types of peanut butter?a)Published sourcesb)Experimentationc)Surveyingd)ObservationANSWER:bTYPE: MC DIFFICULTY: EasyKEYWORDS: sources of data23.Tim was planning for a meeting with his boss to discuss a raise in his annual salary. Inpreparation, he wanted to use the Consumer Price Index to determine the percentage increase in his real (inflation-adjusted) salary over the last three years. Which of the 4 methods of data collection was involved when he used the Consumer Price Index?a)Published sourcesb)Experimentationc)Surveyingd)ObservationANSWER:aTYPE: MC DIFFICULTY: EasyKEYWORDS: sources of data24.Which of the 4 methods of data collection is involved when a person counts the number of carspassing designated locations on the Los Angeles freeway system?a)Published sourcesb)Experimentationc)Surveyingd)ObservationANSWER:dTYPE: MC DIFFICULTY: ModerateKEYWORDS: sources of data25.A statistics student found a reference in the campus library that contained the median familyincomes for all 50 states. She would report her data as being collected usinga) a designed experiment.b)observational data.c) a random sample.d) a published source.ANSWER:dTYPE: MC DIFFICULTY: EasyKEYWORDS: sources of data26.The personnel director at a large company studied the eating habits of the company’s employees.The director noted whether employees brought their own lunches to work, ate at the company cafeteria, or went out to lunch. The goal of the study was to improve the food service at the company cafeteria. This type of data collection would best be considered asa)an observational study.b) a designed experiment.c) a random sample.d) a quota sample.ANSWER:aTYPE: MC DIFFICULTY: EasyKEYWORDS: sources of data27.A study attempted to estimate the proportion of Florida residents who were willing to spendmore tax dollars on protecting the beaches from environmental disasters. Twenty-five hundred Florida residents were surveyed. What type of data collection procedure was most likely used to collect the data for this study?a) A designed experimentb) A published sourcec) A random sampled)Observational dataANSWER:cTYPE: MC DIFFICULTY: EasyKEYWORDS: sources of data28.Which of the following is a discrete quantitative variable?a)The Dow Jones Industrial averageb)The volume of water released from a damc)The distance you drove yesterday.d)The number of employees of an insurance companyANSWER:dTYPE: MC DIFFICULTY: EasyKEYWORDS: discrete random variable, types of data29.Which of the following is a continuous quantitative variable?a)The color of a student’s eyesb)The number of employees of an insurance companyc)The amount of milk produced by a cow in one 24-hour periodd)The number of gallons of milk sold at the local grocery store yesterdayANSWER:cTYPE: MC DIFFICULTY: EasyKEYWORDS: continuous random variable, types of data30.To monitor campus security, the campus police office is taking a survey of the number ofstudents in a parking lot each 30 minutes of a 24-hour period with the goal of determining when patrols of the lot would serve the most students. If X is the number of students in the lot each period of time, then X is an example ofa) a categorical random variable.b) a discrete random variable.c) a continuous random variable.d) a statistic.ANSWER:bTYPE: MC DIFFICULTY: ModerateKEYWORDS: discrete random variable, types of data31.Researchers are concerned that the weight of the average American school child is increasingimplying, among o ther things, that children’s clothing should be manufactured and marketed in larger sizes. If X is the weight of school children sampled in a nationwide study, then X is an example ofa) a categorical random variable.b) a discrete random variable.c) a continuous random variable.d) a parameter.ANSWER:cTYPE: MC DIFFICULTY: ModerateKEYWORDS: continuous random variable, types of data32.The classification of student class designation (freshman, sophomore, junior, senior) is anexample ofa) a categorical random variable.b) a discrete random variable.c) a continuous random variable.d) a parameter.ANSWER:aTYPE: MC DIFFICULTY: EasyKEYWORDS: categorical random variable, types of data33.The classification of student major (accounting, economics, management, marketing, other) is anexample ofa) a categorical random variable.b) a discrete random variable.c) a continuous random variable.d) a parameter.ANSWER:aTYPE: MC DIFFICULTY: EasyKEYWORDS: categorical random variable, types of data34.The chancellor of a major university was concerned about alcohol abuse on her campus andwanted to find out the proportion of students at her university who visited campus bars on the weekend before the final exam week. Her assistant took a random sample of 250 students. The total number of students in the sample who visited campus bars on the weekend before the final exam week is an example ofa) a categorical random variable.b) a discrete random variable.c) a continuous random variable.d) a parameter.ANSWER:bTYPE: MC DIFFICULTY: ModerateKEYWORDS: discrete random variable, types of data35.The chancellor of a major university was concerned about alcohol abuse on her campus andwanted to find out the proportion of students at her university who visited campus bars on the weekend before the final exam week. Her assistant took a random sample of 250 students and computed the portion of students in the sample who visited campus bars on the weekend before the final exam. The portion of all students at her university who visited campus bars on the weekend before the final exam week is an example ofa) a categorical random variable.b) a discrete random variable.c) a continuous random variable.d) a parameter.ANSWER:dTYPE: MC DIFFICULTY: ModerateKEYWORDS: parameter, types of data36.The chancellor of a major university was concerned about alcohol abuse on her campus andwanted to find out the proportion of students at her university who visited campus bars on the weekend before the final exam week. Her assistant took a random sample of 250 students. The portion of students in the sample who visited campus bars on the weekend before the final exam week is an example of __________.a) a categorical random variable.b) a discrete random variable.c) a parameter.d) a statisticANSWER:dTYPE: MC DIFFICULTY: ModerateKEYWORDS: statistic, types of data37.The chancellor of a major university was concerned about alcohol abuse on her campus andwanted to find out the proportion of students at her university who visited campus bars on the weekend before the final exam week. Her assistant took a random sample of 250 students. The portion of students in the sample who visited campus bars on the weekend before the final exam week is an example of __________.a) a categorical random variable.b) a discrete random variable.c) a continuous random variable.d) a parameter.ANSWER:cTYPE: MC DIFFICULTY: DifficultKEYWORDS: continuous random variable, types of dataTABLE 1-1The manager of the customer service division of a major consumer electronics company is interested in determining whether the customers who have purchased a videocassette recorder made by the company over the past 12 months are satisfied with their products.38.Referring to Table 1-1, the population of interest isa)all the customers who have bought a videocassette recorder made by the company overthe past 12 months.b)all the customers who have bought a videocassette recorder made by the company andbrought it in for repair over the past 12 months.c)all the customers who have used a videocassette recorder over the past 12 months.d)all the customers who have ever bought a videocassette recorder made by the company. ANSWER:aTYPE: MC DIFFICULTY: DifficultKEYWORDS: population39.Referring to Table 1-1, which of the following will be a good frame for drawing a sample?a)Telephone directory.b)Voting registry.c)The list of customers who returned the registration card.d) A list of potential customers purchased from a database marketing company. ANSWER:cTYPE: MC DIFFICULTY: EasyKEYWORDS: frame40.Referring to Table 1-1, the possible responses to the question "How many videocassetterecorders made by other manufacturers have you used?" are values from aa)discrete random variable.b)continuous random variable.c)categorical random variable.d)parameter.ANSWER:aTYPE: MC DIFFICULTY: EasyKEYWORDS: discrete random variable, types of data41.Referring to Table 1-1, the possible responses to the question "Are you happy, indifferent, orunhappy with the performance per dollar spent on the videocassette recorder?" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:cTYPE: MC DIFFICULTY: EasyKEYWORDS: categorical random variable, types of data42.Referring to Table 1-1, the possible responses to the question "What is your annual incomerounded to the nearest thousands?" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:aTYPE: MC DIFFICULTY: EasyKEYWORDS: discrete random variable, types of data43.Referring to Table 1-1, the possible responses to the question "How much time do you use thevideocassette recorder every week on the average?" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:bTYPE: MC DIFFICULTY: EasyKEYWORDS: continuous random variable, types of data44.Referring to Table 1-1, the possible responses to the question "How many people are there inyour household?" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:aTYPE: MC DIFFICULTY: EasyKEYWORDS: discrete random variable, types of data45.Referring to Table 1-1, the possible responses to the question "How would you rate the quality ofyour purchase experience with 1 = excellent, 2 = good, 3 = decent, 4 = poor, 5 = terrible?" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:cTYPE: MC DIFFICULTY: EasyKEYWORDS: categorical random variable, types of data46.Referring to Table 1-1, the possible responses to the question "What brand of videocassetterecorder did you purchase?" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:cTYPE: MC DIFFICULTY: EasyKEYWORDS: categorical random variable, types of data47.Referring to Table 1-1, the possible responses to the question "Out of a 100 point score with 100being the highest and 0 being the lowest, what is your satisfaction level on the videocassette recorder that you purchased?" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:aTYPE: MC DIFFICULTY: ModerateKEYWORDS: discrete random variable, types of data48.Referring to Table 1-1, the possible responses to the question "In which year were you born?" arevalues from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:aTYPE: MC DIFFICULTY: ModerateKEYWORDS: discrete random variable, types of data49.True or False: A population is the totality of items or things under consideration.ANSWER:TrueTYPE: TF DIFFICULTY: EasyKEYWORDS: population50.True or False: A sample is the portion of the universe that is selected for analysis. ANSWER:TrueTYPE: TF DIFFICULTY: EasyKEYWORDS: sample51.True or False: Problems may arise when statistically unsophisticated users who do notunderstand the assumptions behind the statistical procedures or their limitations are misled by results obtained from computer software.ANSWER:TrueTYPE: TF DIFFICULTY: EasyKEYWORDS: statistical package52.True or False: Managers need an understanding of statistics to be able to present and describeinformation accurately, draw conclusions about large populations based on small samples,improve processes, and make reliable forecasts.ANSWER:TrueTYPE: TF DIFFICULTY: EasyKEYWORDS: reasons for learning statistics53.True or False: The possible responses to the question “How long have you been living at yourcurrent residence?” are values from a continuous variable.ANSWER:TrueTYPE: TF DIFFICULTY: ModerateKEYWORDS: continuous random variable, types of data54.True or False: The possible responses to the question “How many times in the past three monthshave you visited a city park?” are values from a discrete variable.ANSWER:TrueTYPE: TF DIFFICULTY: ModerateKEYWORDS: discrete random variable, types of data55.True or False: A continuous variable may take on any value within its relevant range even thoughthe measurement device may not be precise enough to record it.ANSWER:TrueTYPE: TF DIFFICULTY: ModerateKEYWORDS: continuous random variable, types of data56. True or False: Faculty rank (professor to lecturer) is an example of discrete numerical data. ANSWER:FalseTYPE: TF DIFFICULTY: EasyKEYWORDS: categorical random variable, types of data57.True or False: Student grades (A to F) are an example of continuous numerical data. ANSWER:FalseTYPE: TF DIFFICULTY: ModerateKEYWORDS: categorical random variables, types of data58.True or False: The amount of coffee consumed by an individual in a day is an example of adiscrete numerical variable.ANSWER:FalseTYPE: TF DIFFICULTY: ModerateKEYWORDS: continuous random variables, types of data59.True or False: A statistic is usually used to provide an estimate for a usually unobservedparameter.ANSWER:TrueTYPE: TF DIFFICULTY: ModerateKEYWORDS: statistic, parameter, inferential statistics60.True or False: A statistic is usually unobservable while a parameter is usually observable. ANSWER:FalseTYPE: TF DIFFICULTY: ModerateKEYWORDS: statistic, parameter, inferential statistic61.True or False: The answer to the question “What is your favorite color?” is an example of anordinal scaled variable.ANSWER:FalseTYPE: TF DIFFICULTY: EasyKEYWORDS: nominal scale62.True or False: The answer to the question “How do you rate the quality of your businessstatistics course” is an example of an ordinal scaled variable.ANSWER:TrueTYPE: TF DIFFICULTY: EasyKEYWORDS: ordinal scale63.True or False: A professor computed the sample average exam score of 20 students and used it toestimate the average exam score of the 1,500 students taking the exam was an example ofinferential statistics.ANSWER:TrueTYPE: TF DIFFICULTY: EasyKEYWORDS: descriptive statistics, inferential statistics64.True or False: Using the number of registered voters who turned out to vote for the primary inIowa to predict the number of registered voters who will turn out to vote in Vermont’s primary is an example of descriptive statistics.ANSWER:FalseTYPE: TF DIFFICULTY: EasyKEYWORDS: descriptive statistics, inferential statistics65.True or False: Compiling the number of registered voters who turned out to vote for the primaryin Iowa is an example of descriptive statistics.ANSWER:TrueTYPE: TF DIFFICULTY: EasyKEYWORDS: descriptive statistics, inferential statistics66.The Human Resources Director of a large corporation wishes to develop an employee benefitspackage and decides to select 500 employees from a list of all (N = 40,000) workers in order to study their preferences for the various components of a potential package. All the employees in the corporation constitute the _______.ANSWER:populationTYPE: FI DIFFICULTY: EasyKEYWORDS: population67.The Human Resources Director of a large corporation wishes to develop an employee benefitspackage and decides to select 500 employees from a list of all (N = 40,000) workers in order to study their preferences for the various components of a potential package. The 500 employees who will participate in this study constitute the _______.ANSWER:sampleTYPE: FI DIFFICULTY: EasyKEYWORDS: sample68.The Human Resources Director of a large corporation wishes to develop an employee benefitspackage and decides to select 500 employees from a list of all (N = 40,000) workers in order to study their preferences for the various components of a potential package. The Director will use the data from the sample to compute _______.ANSWER:statisticsTYPE: FI DIFFICULTY: EasyKEYWORDS: statistic69.The Human Resources Director of a large corporation wishes to develop an employee benefitspackage and decides to select 500 employees from a list of all (N = 40,000) workers in order to study their preferences for the various components of a potential package. Information obtained from the sample will be used to draw conclusions about the true population _______. ANSWER:parametersTYPE: FI DIFFICULTY: EasyKEYWORDS: parameter70.The Human Resources Director of a large corporation wishes to develop an employee benefitspackage and decides to select 500 employees from a list of all (N = 40,000) workers in order to study their preferences for the various components of a potential package. In this study, methods involving the collection, presentation, and characterization of the data are called _______. ANSWER:descriptive statistics/methodsTYPE: FI DIFFICULTY: EasyKEYWORDS: descriptive statistics71.The Human Resources Director of a large corporation wishes to develop an employee benefitspackage and decides to select 500 employees from a list of all (N = 40,000) workers in order to study their preferences for the various components of a potential package. In this study, methods that result in decisions concerning population characteristics based only on the sample results are called _______.ANSWER:。

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