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University of North Carolina, Greensboro ECO 25 TEST BANK Ch 1 CHAPTER 1-DATA AND STATISTICS MULTIPLE CHOICE 1)In a questionnaire, respondents are asked to mark their gender as male or female

Economics Jun 09, 2021

University of North Carolina, Greensboro

ECO 25

TEST BANK Ch 1

CHAPTER 1-DATA AND STATISTICS

MULTIPLE CHOICE

1)In a questionnaire, respondents are asked to mark their gender as male or female. Gender is an example of the

    1. ordinal scale
    2. nominal scale
    3. ratio scale
    4. interval scale

 

 

 

  1. Some hotels ask their guests to rate the hotel's services as excellent, very good, good, and poor. This is an example of the

 

    1. ordinal scale
    2. ratio scale
    3. nominal scale
    4. interval scale
  1. Income is an example of a variable that uses the
    1. ratio scale
    2. interval scale
    3. nominal scale
    4. ordinal scale
  2. The scale of measurement that has an inherent zero value defined is the
    1. ratio scale
    2. nominal scale
    3. ordinal scale
    4. interval scale
  3. Data
    1. are always be numeric
    2. are always nonnumeric
    3. are the raw material of statistics
    4. None of these alternatives is correct.

 

 

 

  1. The entities on which data are collected are
    1. elements
    2. populations
    3. samples
    4. None of these alternatives is correct.

 

 

 

  1. The set of measurements collected for a particular element is (are) called
    1. variables
    2. observations
    3. samples
    4. None of these alternatives is correct.

 

 

 

  1. A characteristic of interest for the elements is called a(n)
    1. sample
    2. data set
    3. variable
    4. None of these alternatives is correct.

 

 

 

  1. Quantitative data
    1. are always nonnumeric
    2. may be either numeric or nonnumeric
    3. are always numeric
    4. None of these alternatives is correct.

 

 

 

 

  1. Social security numbers consist of numeric values. Therefore, social security is an example of
    1. a quantitative variable
    2. either a quantitative or a qualitative variable
    3. an exchange variable
    4. a qualitative variable
  2. A portion of the population selected to represent the population is called
    1. statistical inference
    2. descriptive statistics

 

    1. a census
    2. a sample

 

 

 

  1. In a sample of 800 students in a university, 240, or 30%, are Business majors. The 30% is an example of
    1. a sample
    2. a population
    3. statistical inference
    4. descriptive statistics

 

 

 

  1. Data collected at the same, or approximately the same, point in time are
    1. time series data
    2. approximate time series data
    3. crossectional data
    4. approximate data

 

 

 

  1. Data collected over several time periods are
    1. time series data
    2. time controlled data
    3. crossectional data
    4. time crossectional data

 

Exhibit 1-1

Part of the data bank of a corporation is shown below.

 

Employee

Number

 

Gender

 

Department

Years of

Experience

Employee

Rank (1 - 10)

 

Yearly Salary

23450

Male

Accounting

15

10

$ 52,443.00

34568

Female

IT

24

7

$111,239.00

23123

Female

Personnel

20

4

$ 84,473.00

 

23007

Male

Finance

9

1

$ 47,519.00

 

 

  1. Refer to Exhibit 1-1. Employee Number is an example of                 data.
    1. Nominal
    2. Ordinal
    3. Interval
    4. Ratio

 

 

 

  1. Refer to Exhibit 1-1. Gender is an example of                 data.
    1. nominal
    2. ordinal
    3. interval
    4. ratio

 

 

 

  1. Refer to Exhibit 1-1. Years of Experience is an example of                data.
    1. nominal
    2. ordinal
    3. interval
    4. ratio

 

 

 

  1. Refer to Exhibit 1-1. Employee Rank is an example of                data.
    1. nominal
    2. ordinal
    3. interval
    4. ratio
  2. Refer to Exhibit 1-1. Employee Rank is an example of                 data.
    1. nominal
    2. ordinal
    3. interval

 

    1. ratio

 

 

 

  1. Refer to Exhibit 1-1. Yearly Salary is an example of                data.
    1. nominal
    2. ordinal
    3. interval
    4. ratio

 

 

 

PROBLEMS

 

  1. After graduation ceremonies at a university, six graduates were asked whether they were in favor of (identified by 1) or against (identified by 0) abortion. Some information about these graduates is shown below.

 

Graduate

Sex

Age

Abortion Issue

Class Rank

Nancy

F

52

1

1

Michael

M

24

1

2

Tammy

F

33

0

4

Edward

M

38

0

20

Jennifer

F

25

1

3

Tim

M

19

0

8

 

    1. How many elements are in the data set?
    2. How many variables are in the data set?
    3. How many observations are in the data set?
    4. Which of the above variables (Sex, Age, Abortion Issue, Class rank) are qualitative and which are quantitative variables?
    5. Are arithmetic operations appropriate for the variable "abortion issue"?

 

 

 

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