Introduction and Data Collection 1 CHAPTER 1: INTRODUCTION AND DATA COLLECTION
1.The process of using sample statistics to draw conclusions about true population parameters is
called
a)statistical inference.
b)the scientific method.
c)sampling.
d)descriptive statistics.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: inferential statistics
2.Those methods involving the collection, presentation, and characterization of a set of data in
order to properly describe the various features of that set of data are called
a)statistical inference.
b)the scientific method.
c)sampling.
d)descriptive statistics.
ANSWER:
d
TYPE: MC DIFFICULTY: Easy
KEYWORDS: descriptive statistics
3.The collection and summarization of the socioeconomic and physical characteristics of the
employees of a particular firm is an example of
a)inferential statistics.
b)descriptive statistics.
c) a parameter.
d) a statistic.
ANSWER:
b
TYPE: MC DIFFICULTY: Easy
KEYWORDS: descriptive statistics
4.The estimation of the population average family expenditure on food based on the sample average
expenditure of 1,000 families is an example of
a)inferential statistics.
b)descriptive statistics.
c) a parameter.
d) a statistic.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: inferential statistics
2 Introduction and Data Collection
5.The universe or "totality of items or things" under consideration is called
a) a sample.
b) a population.
c) a parameter.
d) a statistic.
ANSWER:
b
TYPE: MC DIFFICULTY: Easy
KEYWORDS: population
6. The portion of the universe that has been selected for analysis is called
a) a sample.
b) a frame.
c) a parameter.
d) a statistic.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: sample
7. A summary measure that is computed to describe a characteristic from only a sample of the
population is called
a) a parameter.
b) a census.
c) a statistic.
d)the scientific method.
ANSWER:
c
TYPE: MC DIFFICULTY: Easy
KEYWORDS: statistic
8. A summary measure that is computed to describe a characteristic of an entire population is called
a) a parameter.
b) a census.
c) a statistic.
d)the scientific method.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: parameter
Introduction and Data Collection 3
9.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:
d
TYPE: MC DIFFICULTY: Moderate
KEYWORDS: population, sample
10.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:
b
TYPE: MC DIFFICULTY: Moderate
KEYWORDS: parameter, statistic
11.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:
a
TYPE: MC DIFFICULTY: Moderate
KEYWORDS: descriptive statistics
12. A study is under way in Yosemite National Forest to determine the adult height of American
pine 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:
b
TYPE: MC DIFFICULTY: Moderate
KEYWORDS: population, sample
4 Introduction and Data Collection
13.A study is under way in Yosemite National Forest to determine the adult height of American pine
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 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:
b
TYPE: MC DIFFICULTY: Easy
KEYWORDS: data, sampling
14.A study is under way in Yosemite National Forest to determine the adult height of American pine
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 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:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: population, sample
15.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 Drummand
University 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:
c
TYPE: MC DIFFICULTY: Easy
KEYWORDS: population, sample
Introduction and Data Collection 5 16.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 Drummand
University 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:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: data, sampling
17.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 Drummand
University 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:
d
TYPE: MC DIFFICULTY: Easy
KEYWORDS: population, sample
18.Researchers suspect that the average number of units earned per semester by college students is
rising. 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 the
population 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:
c
TYPE: MC DIFFICULTY: Moderate
KEYWORDS: population, sample
6 Introduction and Data Collection
19.The average number of units earned per semester by college students is suspected to be rising. 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. Identify the variable of
interest 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:
d
TYPE: MC DIFFICULTY: Easy
KEYWORDS: data, sampling
20.Jared was working on a project to look at global warming and accessed an Internet site where he
captured average global surface temperatures from 1866. Which of the four methods of data
collection was he using?
a)Published sources
b)Experimentation
c)Surveying
d)Observation
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: sources of data
21.The British Airways Internet site provides a questionnaire instrument that can be answered
electronically. Which of the 4 methods of data collection is involved when people complete the questionnaire?
a)Published sources
b)Experimentation
c)Surveying
d)Observation
ANSWER:
c
TYPE: MC DIFFICULTY: Easy
KEYWORDS: sources of data
Introduction and Data Collection 7 22.A marketing research firm, in conducting a comparative taste test, provided three types of peanut
butter 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 sources
b)Experimentation
c)Surveying
d)Observation
ANSWER:
b
TYPE: MC DIFFICULTY: Easy
KEYWORDS: sources of data
23.Tim was planning for a meeting with his boss to discuss a raise in his annual salary. In
preparation, 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 sources
b)Experimentation
c)Surveying
d)Observation
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: sources of data
24.Which of the 4 methods of data collection is involved when a person counts the number of cars
passing designated locations on the Los Angeles freeway system?
a)Published sources
b)Experimentation
c)Surveying
d)Observation
ANSWER:
d
TYPE: MC DIFFICULTY: Moderate
KEYWORDS: sources of data
25.A statistics student found a reference in the campus library that contained the median family
incomes for all 50 states. She would report her data as being collected using
a) a designed experiment.
b)observational data.
c) a random sample.
d) a published source.
ANSWER:
d
TYPE: MC DIFFICULTY: Easy
KEYWORDS: sources of data
8 Introduction and Data Collection
26.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 as
a)an observational study.
b) a designed experiment.
c) a random sample.
d) a quota sample.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: sources of data
27.A study attempted to estimate the proportion of Florida residents who were willing to spend more
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 experiment
b) A published source
c) A random sample
d)Observational data
ANSWER:
c
TYPE: MC DIFFICULTY: Easy
KEYWORDS: sources of data
28.Which of the following is a discrete quantitative variable?
a)The Dow Jones Industrial average
b)The volume of water released from a dam
c)The distance you drove yesterday.
d)The number of employees of an insurance company
ANSWER:
d
TYPE: MC DIFFICULTY: Easy
KEYWORDS: discrete random variable, types of data
29.Which of the following is a continuous quantitative variable?
a)The color of a student’s eyes
b)The number of employees of an insurance company
c)The amount of milk produced by a cow in one 24-hour period
d)The number of gallons of milk sold at the local grocery store yesterday
ANSWER:
c
TYPE: MC DIFFICULTY: Easy
KEYWORDS: continuous random variable, types of data
Introduction and Data Collection 9 30.To monitor campus security, the campus police office is taking a survey of the number of
students 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 of
a) a categorical random variable.
b) a discrete random variable.
c) a continuous random variable.
d) a statistic.
ANSWER:
b
TYPE: MC DIFFICULTY: Moderate
KEYWORDS: discrete random variable, types of data
31.Researchers are concerned that the weight of the average American school child is increasing
implying, among other 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 of
a) a categorical random variable.
b) a discrete random variable.
c) a continuous random variable.
d) a parameter.
ANSWER:
c
TYPE: MC DIFFICULTY: Moderate
KEYWORDS: continuous random variable, types of data
32.The classification of student class designation (freshman, sophomore, junior, senior) is an
example of
a) a categorical random variable.
b) a discrete random variable.
c) a continuous random variable.
d) a parameter.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: categorical random variable, types of data
33.The classification of student major (accounting, economics, management, marketing, other) is an
example of
a) a categorical random variable.
b) a discrete random variable.
c) a continuous random variable.
d) a parameter.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: categorical random variable, types of data
10 Introduction and Data Collection
34.The chancellor of a major university was concerned about alcohol abuse on her campus and
wanted 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 of
a) a categorical random variable.
b) a discrete random variable.
c) a continuous random variable.
d) a parameter.
ANSWER:
b
TYPE: MC DIFFICULTY: Moderate
KEYWORDS: discrete random variable, types of data
35.The chancellor of a major university was concerned about alcohol abuse on her campus and
wanted 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 of
a) a categorical random variable.
b) a discrete random variable.
c) a continuous random variable.
d) a parameter.
ANSWER:
d
TYPE: MC DIFFICULTY: Moderate
KEYWORDS: parameter, types of data
36.The chancellor of a major university was concerned about alcohol abuse on her campus and
wanted 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 statistic
ANSWER:
d
TYPE: MC DIFFICULTY: Moderate
KEYWORDS: statistic, types of data
Introduction and Data Collection 11 37.The chancellor of a major university was concerned about alcohol abuse on her campus and
wanted 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:
c
TYPE: MC DIFFICULTY: Difficult
KEYWORDS: continuous random variable, types of data
TABLE 1-1
The 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 is
a)all the customers who have bought a videocassette recorder made by the company over
the past 12 months.
b)all the customers who have bought a videocassette recorder made by the company and
brought 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:
a
TYPE: MC DIFFICULTY: Difficult
KEYWORDS: population
39.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:
c
TYPE: MC DIFFICULTY: Easy
KEYWORDS: frame
12 Introduction and Data Collection
40.Referring to Table 1-1, the possible responses to the question "How many videocassette recorders
made by other manufacturers have you used?" are values from a
a)discrete random variable.
b)continuous random variable.
c)categorical random variable.
d)parameter.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: discrete random variable, types of data
41.Referring to Table 1-1, the possible responses to the question "Are you happy, indifferent, or
unhappy with the performance per dollar spent on the videocassette recorder?" are values from a
a)discrete numerical random variable.
b)continuous numerical random variable.
c)categorical random variable.
d)parameter.
ANSWER:
c
TYPE: MC DIFFICULTY: Easy
KEYWORDS: categorical random variable, types of data
42.Referring to Table 1-1, the possible responses to the question "What is your annual income
rounded to the nearest thousands?" are values from a
a)discrete numerical random variable.
b)continuous numerical random variable.
c)categorical random variable.
d)parameter.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: discrete random variable, types of data
43.Referring to Table 1-1, the possible responses to the question "How much time do you use the
videocassette recorder every week on the average?" are values from a
a)discrete numerical random variable.
b)continuous numerical random variable.
c)categorical random variable.
d)parameter.
ANSWER:
b
TYPE: MC DIFFICULTY: Easy
KEYWORDS: continuous random variable, types of data
Introduction and Data Collection 13 44.Referring to Table 1-1, the possible responses to the question "How many people are there in
your household?" are values from a
a)discrete numerical random variable.
b)continuous numerical random variable.
c)categorical random variable.
d)parameter.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: discrete random variable, types of data
45.Referring to Table 1-1, the possible responses to the question "How would you rate the quality of
your purchase experience with 1 = excellent, 2 = good, 3 = decent, 4 = poor, 5 = terrible?" are values from a
a)discrete numerical random variable.
b)continuous numerical random variable.
c)categorical random variable.
d)parameter.
ANSWER:
c
TYPE: MC DIFFICULTY: Easy
KEYWORDS: categorical random variable, types of data
46.Referring to Table 1-1, the possible responses to the question "What brand of videocassette
recorder did you purchase?" are values from a
a)discrete numerical random variable.
b)continuous numerical random variable.
c)categorical random variable.
d)parameter.
ANSWER:
c
TYPE: MC DIFFICULTY: Easy
KEYWORDS: categorical random variable, types of data
47.Referring to Table 1-1, the possible responses to the question "Out of a 100 point score with 100
being the highest and 0 being the lowest, what is your satisfaction level on the videocassette recorder that you purchased?" are values from a
a)discrete numerical random variable.
b)continuous numerical random variable.
c)categorical random variable.
d)parameter.
ANSWER:
a
TYPE: MC DIFFICULTY: Moderate
KEYWORDS: discrete random variable, types of data
14 Introduction and Data Collection
48.Referring to Table 1-1, the possible responses to the question "In which year were you born?" are
values from a
a)discrete numerical random variable.
b)continuous numerical random variable.
c)categorical random variable.
d)parameter.
ANSWER:
a
TYPE: MC DIFFICULTY: Moderate
KEYWORDS: discrete random variable, types of data
49.True or False: A population is the totality of items or things under consideration.
ANSWER:
True
TYPE: TF DIFFICULTY: Easy
KEYWORDS: population
50.True or False: A sample is the portion of the universe that is selected for analysis.
ANSWER:
True
TYPE: TF DIFFICULTY: Easy
KEYWORDS: sample
51.True or False: Problems may arise when statistically unsophisticated users who do not understand
the assumptions behind the statistical procedures or their limitations are misled by results
obtained from computer software.
ANSWER:
True
TYPE: TF DIFFICULTY: Easy
KEYWORDS: statistical package
52.True or False: Managers need an understanding of statistics to be able to present and describe
information accurately, draw conclusions about large populations based on small samples,
improve processes, and make reliable forecasts.
ANSWER:
True
TYPE: TF DIFFICULTY: Easy
KEYWORDS: reasons for learning statistics
53.True or False: The possible responses to the question “How long have you been living at your
current residence?” are values from a continuous variable.
ANSWER:
True
TYPE: TF DIFFICULTY: Moderate
KEYWORDS: continuous random variable, types of data
Introduction and Data Collection 15 54.True or False: The possible responses to the question “How many times in the past three months
have you visited a city park?” are values from a discrete variable.
ANSWER:
True
TYPE: TF DIFFICULTY: Moderate
KEYWORDS: discrete random variable, types of data
55.True or False: A continuous variable may take on any value within its relevant range even though
the measurement device may not be precise enough to record it.
ANSWER:
True
TYPE: TF DIFFICULTY: Moderate
KEYWORDS: continuous random variable, types of data
56. True or False: Faculty rank (professor to lecturer) is an example of discrete numerical data. ANSWER:
False
TYPE: TF DIFFICULTY: Easy
KEYWORDS: categorical random variable, types of data
57.True or False: Student grades (A to F) are an example of continuous numerical data. ANSWER:
False
TYPE: TF DIFFICULTY: Moderate
KEYWORDS: categorical random variables, types of data
58.True or False: The amount of coffee consumed by an individual in a day is an example of a
discrete numerical variable.
ANSWER:
False
TYPE: TF DIFFICULTY: Moderate
KEYWORDS: continuous random variables, types of data
59.True or False: A statistic is usually used to provide an estimate for a usually unobserved
parameter.
ANSWER:
True
TYPE: TF DIFFICULTY: Moderate
KEYWORDS: statistic, parameter, inferential statistics
60.True or False: A statistic is usually unobservable while a parameter is usually observable. ANSWER:
False
TYPE: TF DIFFICULTY: Moderate
KEYWORDS: statistic, parameter, inferential statistic
16 Introduction and Data Collection
61.True or False: The answer to the question “What is your favorite color?” is an example of an
ordinal scaled variable.
ANSWER:
False
TYPE: TF DIFFICULTY: Easy
KEYWORDS: nominal scale
62.True or False: The answer to the question “How do you rate the quality of your business statistics
course” is an example of an ordinal scaled variable.
ANSWER:
True
TYPE: TF DIFFICULTY: Easy
KEYWORDS: ordinal scale
63.True or False: A professor computed the sample average exam score of 20 students and used it to
estimate the average exam score of the 1,500 students taking the exam was an example of
inferential statistics.
ANSWER:
True
TYPE: TF DIFFICULTY: Easy
KEYWORDS: descriptive statistics, inferential statistics
64.True or False: Using the number of registered voters who turned out to vote for the primary in
Iowa to predict the number of registered voters who will turn out to vote in Vermont’s primary is an example of descriptive statistics.
ANSWER:
False
TYPE: TF DIFFICULTY: Easy
KEYWORDS: descriptive statistics, inferential statistics
65.True or False: Compiling the number of registered voters who turned out to vote for the primary
in Iowa is an example of descriptive statistics.
ANSWER:
True
TYPE: TF DIFFICULTY: Easy
KEYWORDS: descriptive statistics, inferential statistics
66.The Human Resources Director of a large corporation wishes to develop an employee benefits
package 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:
population
TYPE: FI DIFFICULTY: Easy
KEYWORDS: population
Introduction and Data Collection 17 67.The Human Resources Director of a large corporation wishes to develop an employee benefits
package 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:
sample
TYPE: FI DIFFICULTY: Easy
KEYWORDS: sample
68.The Human Resources Director of a large corporation wishes to develop an employee benefits
package 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:
statistics
TYPE: FI DIFFICULTY: Easy
KEYWORDS: statistic
69.The Human Resources Director of a large corporation wishes to develop an employee benefits
package 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:
parameters
TYPE: FI DIFFICULTY: Easy
KEYWORDS: parameter
70.The Human Resources Director of a large corporation wishes to develop an employee benefits
package 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/methods
TYPE: FI DIFFICULTY: Easy
KEYWORDS: descriptive statistics
71.The Human Resources Director of a large corporation wishes to develop an employee benefits
package 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:
inferential statistics/methods
TYPE: FI DIFFICULTY: Easy
KEYWORDS: inferential statistics
18 Introduction and Data Collection
72.Mediterranean fruit flies were discovered in California a few years ago and badly damaged the
oranges grown in that state. Suppose the manager of a large farm wanted to study the impact of the fruit flies on the orange crops on a daily basis over a 6-week period. On each day a random
sample of orange trees were selected from within a random sample of acres. The daily average
number of damaged oranges per tree and the proportion of trees having damaged oranges were
calculated. The two main measures calculated each day (i.e., average number of damaged oranges per tree and proportion of trees having damaged oranges) are called _______.
ANSWER:
statistics
TYPE: FI DIFFICULTY: Moderate
KEYWORDS: statistic
73.Mediterranean fruit flies were discovered in California a few years ago and badly damaged the
oranges grown in that state. Suppose the manager of a large farm wanted to study the impact of the fruit flies on the orange crops on a daily basis over a 6-week period. On each day a random
sample of orange trees were selected from within a random sample of acres. The daily average
number of damaged oranges per tree and the proportion of trees having damaged oranges were
calculated. The two main measures calculated each day (i.e., average number of damaged oranges per tree and proportion of trees having damaged oranges) may be used on a daily basis to estimate the respective true population _______.
ANSWER:
parameters
TYPE: FI DIFFICULTY: Easy
KEYWORDS: parameters
74.Mediterranean fruit flies were discovered in California a few years ago and badly damaged the
oranges grown in that state. Suppose the manager of a large farm wanted to study the impact of the fruit flies on the orange crops on a daily basis over a 6-week period. On each day a random
sample of orange trees were selected from within a random sample of acres. The daily average
number of damaged oranges per tree and the proportion of trees having damaged oranges were
calculated. In this study, drawing conclusions on any one day about the true population
characteristics based on information obtained from the sample is called _______.
ANSWER:
inferential statistics/methods
TYPE: FI DIFFICULTY: Moderate
KEYWORDS: inferential statistics
Introduction and Data Collection 19 75.Mediterranean fruit flies were discovered in California a few years ago and badly damaged the
oranges grown in that state. Suppose the manager of a large farm wanted to study the impact of the fruit flies on the orange crops on a daily basis over a 6-week period. On each day a random sample of orange trees were selected from within a random sample of acres. The daily average number of damaged oranges per tree and the proportion of trees having damaged oranges were calculated. In this study, the presentation and characterization of the two main measures
calculated each day (i.e., average number of damaged oranges per tree and proportion of trees having damaged oranges) is called _______ .
ANSWER:
descriptive statistics/methods
TYPE: FI DIFFICULTY: Moderate
KEYWORDS: descriptive statistics
76.The Quality Assurance Department of a large urban hospital is attempting to monitor and
evaluate patient satisfaction with hospital services. Prior to discharge, a random sample of
patients is asked to fill out a questionnaire to rate such services as medical care, nursing, therapy, laboratory, food, and cleaning. The Quality Assurance Department prepares weekly reports that are presented at the Board of Directors meetings and extraordinary/atypical ratings are easy to flag. Values computed from the sample results each week are called _______.
ANSWER:
statistics
TYPE: FI DIFFICULTY: Easy
KEYWORDS: statistic
77.The Quality Assurance Department of a large urban hospital is attempting to monitor and
evaluate patient satisfaction with hospital services. Prior to discharge, a random sample of
patients is asked to fill out a questionnaire to rate such services as medical care, nursing, therapy, laboratory, food, and cleaning. The Quality Assurance Department prepares weekly reports that are presented at the Board of Directors meetings and extraordinary/atypical ratings are easy to flag. True population characteristics estimated from the sample results each week are called
_______.
ANSWER:
parameters
TYPE: FI DIFFICULTY: Easy
KEYWORDS: parameter
78.The Commissioner of Health in New York State wanted to study malpractice litigation in New
York. A sample of 31 thousand medical records was drawn from a population of 2.7 million patients who were discharged during the year 1997. The proportion of malpractice claims filed from the sample of 31 thousand patients is a _______.
ANSWER:
statistic
TYPE: FI DIFFICULTY: Moderate
KEYWORDS: statistic
20 Introduction and Data Collection
79.The Commissioner of Health in New York State wanted to study malpractice litigation in New
York. A sample of 31 thousand medical records was drawn from a population of 2.7 million
patients who were discharged during the year 1997. The true proportion of malpractice claims
filed from the population of 2.7 million patients is a _______.
ANSWER:
parameter
TYPE: FI DIFFICULTY: Easy
KEYWORDS: parameter
80.The Commissioner of Health in New York State wanted to study malpractice litigation in New
York. A sample of 31 thousand medical records was drawn from a population of 2.7 million
patients who were discharged during the year 1997. Using the information obtained from the
sample to predict population characteristics with respect to malpractice litigation is an example of _______.
ANSWER:
inferential statistics
TYPE: FI DIFFICULTY: Moderate
KEYWORDS: inferential statistics
81.The Commissioner of Health in New York State wanted to study malpractice litigation in New
York. A sample of 31 thousand medical records was drawn from a population of 2.7 million
patients who were discharged during the year 1997. The collection, presentation, and
characterization of the data from patient medical records are examples of _______.
ANSWER:
descriptive statistics/methods
TYPE: FI DIFFICULTY: Easy
KEYWORDS: descriptive statistics
82.An insurance company evaluates many numerical variables about a person before deciding on an
appropriate rate for automobile insurance. The number of claims a person has made in the last 3 years is an example of a _______ numerical variable.
ANSWER:
discrete
TYPE: FI DIFFICULTY: Easy
KEYWORDS: discrete random variable, types of data
83.An insurance company evaluates many numerical variables about a person before deciding on an
appropriate rate for automobile insurance. The distance a person drives in a year is an example of
a _______ variable.
ANSWER:
continuous
TYPE: FI DIFFICULTY: Easy
KEYWORDS: continuous random variable, types of data