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Flashcards in Review intro & data collection Deck (25):
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

a

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

d

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.

b

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

a

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.

b

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

a

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.

c

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

a

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

d

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

b

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

a

12

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

d

13

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

c

14

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.

b

15

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.

c

16

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.

a

17

The classification of student major (accounting, economics, management, marketing, other) is an
example of
Introduction and Data Collection 9
a) a categorical random variable.
b) a discrete random variable.
c) a continuous random variable.
d) a parameter.

a

18

. 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.

b

19

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.

d

20

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.

d

21

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.

c

22

The answer to the question “What is your favorite color?” is an example of an
ordinal scaled variable.
T/F

F
Nominal scale

23

The answer to the question “How do you rate the quality of your business statistics
course” is an example of an ordinal scaled variable.

TR

24

The answer to the question “How many hours on average do you spend watching
TV every week?” is an example of a ratio scaled variable.

TR

25

“What is your sleeping bag temperature rating?” is an
example of a ratio scaled variable.

F
INTERVAL SCALE