1.Which of the following is an example of quantitative data: the number of people in a waiting line
2.Which of the following is an example of categorical data? social security number
3.The number of observations in a complete data set having 10 elements and 5 variables is _____. 10
4.Facts and figures collected, analyzed, and summarized for presentation and interpretation are called _____. Data
5.The entities on which data are collected are _____. elements
6.The set of measurements collected for an element is called a(n) _____. Observation
7.A characteristic of interest for the elements is called a(n) _____. Variable
8.All data collected in a study are referred to as the _____. Data Set
9.In a data set, the number of observations will always be the same as the number of _____. Elements
10.Which of the following is NOT a scale of measurement? categorical
11.When the data are labels or names used to identify an attribute of the elements, the variable has which scale of measurement? Nominal
12.When the data are labels or names used to identify an attribute of the elements and the rank of the data is meaningful, the variable has which scale of measurement? Ordinal
13.When the data have the properties of ordinal data and the interval between observations is expressed in terms of a fixed unit of measure, the variable has which scale of measurement? Interval
14.When the data have the properties of interval data and the multiplication or division of two values is meaningful, the variable has which scale of measurement? Ratio
15.Which two scales of measurement can be either numeric or nonnumeric? nominal and ordinal
16.Which of the following variables uses the interval scale of measurement? SAT Score
17.Which of the following variables uses the ratio scale of measurement? Time
18.Quantitative data _____. are always numeric
19.Categorical data _____. may be either numeric or nonnumeric
20._____ analytics is the set of analytical techniques that yield a course of action. Prescriptive
21.What organization developed the report, “Ethical Guidelines for Statistical Practice”? American Statistical Association
22.Arithmetic operations are inappropriate for _____. categorical data
23.In a questionnaire, respondents are asked to mark their gender as Male, Female, Transgender MtoF, Transgender FtoM, Non-binary, or Intersex. Gender is an example of a(n) _____ variable. categorical
24.In a questionnaire, respondents are asked to record their age in years. Age is an example of a _____. quantitative variable
25.In an application for a credit card, potential customers are asked for their social security numbers. A social security number is an example of a _____. categorical variable
26.Temperature is an example of which scale of measurement? Interval
27.Income is an example of _____. quantitative data
28.The birth weight of newborns, measured in grams, is an example of _____. quantitative data
29.Data collected at the same, or approximately the same, point in time are _____ data. cross-sectional
30.Data collected over several time periods are _____ data. Time series
31.Statistical studies in which researchers do not control variables of interest are _____. observational studies
32.Statistical studies in which researchers control variables of interest are _____ studies. experimental
33._____ analytics encompasses the set of analytical techniques that describe what has happened in the past. Descriptive
34.Which of the following is NOT an example of an existing source of data? data from an experiment
35.Which of the following is NOT an example of a firm that sells or leases business database services to clients? U.S. Census Bureau
36.The most common type of observational study is a(n) _____. Survey
37.The summaries of data, which may be tabular, graphical, or numerical, are referred to as _____. Descriptive Statsitics
38.A Scanner Data User Survey of 50 companies found that the average amount spent on scanner data per category of consumer goods was $387,325 (Mercer Management Consulting, Inc., April 24, 1997). The $387,325 is an example of _____. a descriptive statistic
39.Statistical inference ____ is the process of drawing inferences about the population based on the information taken from the sample
40.The collection of all elements of interest in a study is _____. the population
41.A portion of the population selected to represent the population is called _____. a sample
42.Of 800 students in a university, 360, or 45%, live in the dormitories. The 800 is an example of _____. a population
43.In a sample of 800 students in a university, 160, or 20%, are Business majors. Based on the above information, the school’s paper reported, “20% of all students at the university are Business majors.” This report is an example of _____. statistical inference
44.Six hundred residents of a city are polled to obtain information on voting intentions in an upcoming city election. The 600 residents in this study is an example of a(n) _____. Sample
45.A statistics professor asked students in a class their ages. Based on this information, the professor states that the average age of students in the university is 21 years. This is an example of _____. statistical inference
46.The owner of a factory regularly requests a graphical summary of all employees’ salaries. The graphical summary of salaries is an example of _____. descriptive statistics
47.The Department of Transportation of a city has noted that on the average there are 14 accidents per day. The average number of accidents is an example of _____. descriptive statistics
48.In a sample of 3,200 registered voters, 1,440, or 45%, approve of the way the president is doing his job.
The 45% approval is an example of _____. descriptive statistics
49.In a sample of 3,200 registered voters, 1,440, or 45%, approve of the way the president is doing his job.
A political pollster states, “Forty five percent of all voters approve of the president.” This statement is an example of _____. statistical inference
50.The process of analyzing sample data to draw conclusions about the characteristics of a population is called _____. statistical inference
51.In a post office, the mailboxes are numbered from 1 to 5,000. These numbers represent _____. categorical data
52.The average age in a sample of 90 students at City College is 20. From this sample, it can be concluded that the average age of all the students at City College _____ could be larger, smaller, or equal to 20
53._____ analytics consists of analytical techniques that use models constructed from past data to predict the future or to assess the impact of one variable on another. Predictive
54.The term _____ is used to refer to the process of capturing, storing, and maintaining data. data warehousing
55.A sample of five Fortune 500 companies showed the following revenues ($ millions): 7505.0, 2904.7, 7208.4, 6819.0, and 19500.0. Based on this information, which of the following statements is correct? An estimate of the average revenue for all Fortune 500 companies is 8787.42 ($ millions).
56.A sample of five Fortune 500 companies possessed the following industry codes: banking, banking, finance, retail, and banking. Based on this information, which of the following statements is correct?
Sixty percent of the sample of five companies are banking industries.
57.The Microsoft Office package used to perform statistical analysis is _____. Excel
58.Dr. Kurt Thearling, a leading practitioner in the field, defines data mining as “the _____ extraction of _____ information from databases.” automated, predictive
59.The major applications of data mining have been made by companies with a strong _____ focus.
consumer
60.Quantitative data that measure “how many” are ________; quantitative data that measure “how much” are ________. discrete; continuous
61.Flight time from Cincinnati to Atlanta is an example of a _____ variable and _____ measurement.
continuous; ratio
62.Which of the following is NOT a categorical variable? your age on your last birthday
63.Categorical data use either the ______ or ______ scale of measurement.
nominal; ordinal
64.The term data warehousing is used to refer to the process of doing all of the following, except _____ the data. mining
65._____ is the process of using procedures from statistics and computer science to extract useful information from extremely large databases. Data mining