a.
a quantitative variable
b.
either a quantitative or a categorical variable
c.
an exchange variable
d.
a categorical variable
ANS: D PTS: 1 TOP: Descriptive Statistics
31. Temperature is an example of
a.
a categorical variable
b.
a quantitative variable
c.
either a quantitative or categorical variable
d.
neither a quantitative nor categorical variable
ANS: B PTS: 1 TOP: Descriptive Statistics
32. For ease of data entry into a university database, 1 denotes that the student is an undergraduate and 2 indicates that the student is a graduate student. In this case data are
a.
categorical
b.
quantitative
c.
either categorical or quantitative
d.
neither categorical nor quantitative
ANS: A PTS: 1 TOP: Descriptive Statistics
33. Arithmetic operations are inappropriate for
a.
categorical data
b.
quantitative data
c.
both categorical and quantitative data
d.
large data sets
ANS: A PTS: 1 TOP: Descriptive Statistics
34. Income is an example of
a.
categorical data
b.
either categorical or quantitative data
c.
dollar data
d.
quantitative data
ANS: D PTS: 1 TOP: Descriptive Statistics
35. Data collected at the same, or approximately the same, point in time are
a.
time series data
b.
approximate time series data
c.
crossectional data
d.
approximate data
ANS: C PTS: 1 TOP: Descriptive Statistics
36. Data collected over several time periods are
a.
time series data
b.
time controlled data
c.
crossectional data
d.
time crossectional data
ANS: A PTS: 1 TOP: Descriptive Statistics
37. Statistical studies in which researchers do not control variables of interest are