Williams Test Bank All

Sta�s�cs for Business & Economics, 15e Camm, Cochran, Fry, Ohlmann, Anderson, Sweeney, Williams (Test Bank All Chapters, 100% Original Verified, A+ Grade) 1 / 4

Name:

Class:

Date:

Ch. 01: Data and Statistics

Powered by Cognero Page 1

Indicate the answer choice that best completes the statement or answers the question.

• Different methods of developing useful information from large data bases are dealt with under

• data manipulation.
• data warehousing.
• big data.
• data mining.

• The process of capturing, storing, and maintaining data is known as
• data manipulation.
• data mining.
• data warehousing.
• big data.

• The subject of data mining deals with
• methods for developing useful decision-making information from large data bases.
• keeping data secure so that unauthorized individuals cannot access the data.
• computational procedure for data analysis.
• computing the average for data.

• In a questionnaire, respondents are asked to mark their gender as male or female. The scale of measurement for gender

is _____ scale.

• ordinal
• nominal
• ratio
• interval

• The scale of measurement that is used to rank order the observation for a variable is called the _____ scale.
• ratio
• ordinal
• nominal
• interval

• A restaurant asks their customers to fill out a questionnaire indicating whether their service was excellent, very good,

good, or poor. The rating scale used is an example of the _____ scale.

• ordinal
• ratio
• nominal
• interval

• The data measured on ordinal scale exhibits all the properties of data measured on

• ratio scale. 2 / 4

Name:

Class:

Date:

Ch. 01: Data and Statistics

Powered by Cognero Page 2

• interval scale.
• nominal scale.
• nominal and interval scales.

• Measurement of body temperature is an example of a variable that uses
• the ratio scale.
• the interval scale.
• the ordinal scale.
• either the ratio or the ordinal scale.

• Arithmetic operations provide meaningful results for variables that
• use any scale of measurement except nominal and ordinal.
• appear as non-numerical values.
• are quantitative.
• have non-negative values.

• Height is an example of a variable that uses the _____ scale.
• ratio
• interval
• nominal
• ordinal

• Data measured in a nominal scale
• must be alphabetic.
• can be either numeric or nonnumeric.
• must be numeric.
• must rank order the data.

• The scale of measurement that has an inherent zero value defined is the _____ scale.
• ratio
• nominal
• ordinal
• interval

• The measurement scale suitable for quantitative data is _____ scale.

• the ordinal
• the nominal
• either the interval or ratio
• only the interval

• Data are
• always numeric.
• always non-numeric. 3 / 4

Name:

Class:

Date:

Ch. 01: Data and Statistics

Powered by Cognero Page 3

• the raw material of statistics.
• always categorical.

• The entities on which data are collected are
• elements.
• populations.
• samples.
• observations.

• The set of measurements collected for a particular element are called
• variables.
• observations.
• samples.
• populations.

• A characteristic of interest for the elements is called a
• sample.
• data set.
• variable.
• quality.

• All the data collected in a particular study are referred to as the
• sample.
• variable.
• data set.
• population.

• Quantitative data
• are always non-numeric.
• may be either numeric or non-numeric.
• are always numeric.
• are never numeric.

• In a questionnaire, respondents are asked to mark their marital status as single, married, divorced, or widowed. Marital

status is an example of a(n) _____ variable.

• categorical
• quantitative
• interval-scale
• ordinal-scale

• The number of observations will always be the same as the
• number of variables.
• number of elements.
• population size.
• / 4