chap01-商务统计学
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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。
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。
对商务统计学课程的认识商务统计学是一门应用性统计学课程,是全面系统的论述商务与经济统计活动全过程中所用到的统计方法。
在我个人认为商务统计与统计学没有太大差别,统计学注重讲理论,商务统计注重实践分析案例,可以说是在学了统计学时隔一年后对统计学来了次全面的复习,以及理论的实践。
在商务统计学中,又学了一遍统计学的理论知识:介绍了统计学的性质、统计学的作用、统计学的基本概念、统计学指标体系的设计,还有实用的数据的采集、参数估计、统计推断和假设检验、方差分析、回归分析、时间序列的预测、统计决策分析、统计指数及最终的综合评价。
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。
以下是我对本学期所学的商务统计学知识的回顾及梳理:1. 统计总体是组成统计活动研究对象的全部事物的全体集合,就称为统计总体,简称总体或母体;而总体中的各个事物则称为个体,总体中个体的数量称为总体容量。
2. 指标的测度计量尺度有(1)定类尺度(2)定序尺度(3)定距尺度(4)定比尺度 。
3. 统计推断指根据样本观测资料来对总体的分布状况和分布特征进行推断。
4. 样本数据的分类(1)横截面数据(2)时间序列数据。
5. 统计指标体系的定义:反映总体及其所含个体的各个方面特征数量的一系列相互联系、相互补充的统计指标所形成的体系,称为统计指标体系。
指标体系设计的原则为(1)目的性原则(2)科学性原则 (3)可行性原则 (4)联系性原则。
6. 调查的取样方式a 、随机抽样调查(1)简单随机抽样(2)系统抽样(3)分层抽样(4)整群抽样。
b 、非随机抽样调查(1)任意抽样(2)立意抽样(3)配额抽样。
7. 在统计分析推断中,常用的连续随机变量概率分布模型主要有均匀分布、正态分布、卡方分布、t 分布和F 分布等几种。
8. 区间估计的方法a 、(1)均值的区间估计 (2)比例的区间估计 (3)方差的区间估计 (4)单侧置信区间 9. 所谓统计假设,就是关于总体分布特征的某种论断。
商务统计学实例商务统计学是一门重要的课程,它被用于数据分析、统计学分析和决策制定的不同层面。
它既可以用于分析市场趋势,也可以作为企业决策及策略制定的基础。
商务统计学有许多实践案例,以下是三个常用实践案例:首先,有用的实践案例是市场调研。
市场调研是一个常用的商务统计学技术,可以帮助分析市场的情况,识别潜在的机会和危机,帮助企业进行更准确的决策。
市场调研案例包括了大量的数据收集和分析,包括产品销售分析、投资评估分析等。
其次,另一个商务统计学实践案例是客户关系管理(CRM)。
CRM是企业通过跟踪客户购买行为对客户进行管理的一种商务策略。
它利用统计学的方法分析客户的行为模式,以进行定制营销、提高客户满意度和提高客户忠诚度。
CRM通过建立精准的客户档案,可以有效的改善企业的管理效率和降低营销成本。
最后,还有一个商务统计学实践案例是销售预测。
销售预测是通过收集和分析过去销售数据来预测未来市场趋势的重要工具。
它通过多元线性回归和指数平滑模型等方式,对销售量的变化趋势进行预测,以更好的调整企业的产品策略,帮助企业实现未来的发展目标。
以上便是商务统计学的三大常用实践案例,它们的作用都在于改善企业决策的准确性,提高企业效率和收益。
在商务统计学的实践中,要熟练掌握各种统计学技术,实现数据驱动决策,从而助力企业实现可持续发展。
商务统计学在实践中的应用更是不可忽视的,它可以应用在众多行业的管理中,例如销售业务管理、行政管理、财务管理、人力资源管理等等。
例如,销售业务管理中,可以通过市场调研、客户关系管理和销售预测等商务统计学方法,帮助企业跟踪客户需求,提高营销策略的有效性。
此外,商务统计学还可以用于人力资源管理,例如组织决策管理、改进员工招聘与培训等,有助于企业更好的管理并实施人力资源策略。
以上就是商务统计学的三大实践案例,也是实践中最常用的方法。
商务统计学在不断发展,同时,技术的变革也让商务统计学更加关注可持续发展问题,如环境保护、人口增长等社会问题。
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:。