BUS 275 ACTUAL EXAMINATION TEST 2026
QUESTIONS WITH SOLUTIONS GRADED A+
◉ rows called (5)
columns called. Answer: - cases, records, subjects/participants, elements
-variables
◉ two types of variables (2). Answer: 1. qualitative (categorical)
2. quantitative
◉ qualitative (4). Answer: -falls into distinct boxes, generally small
number of categories
-qualitative in nature; some quality possessed by an observation
-determined by sorting into categories or by counting
,-often coded to assume numerical values but not meaningful numbers
◉ quantitative (3). Answer: -numerical values determined by measuring
something
-meaningful numbers, generally w units of measurements
-makes sense to perform arithmetic fxns (eg. average)
◉ qualitative data subtypes (2). Answer: 1. ordinal data
2. nominal data
◉ ordinal data (2)
nominal data (5). Answer:data can be ranked (meaningful order) but
intervals are meaningless
-ex: likert scales, bond rating systems
: categories w/o ordering or rank
,-ex: gender, major, country of birth
-subtypes of nominal
-unique identifiers useful to help recognize individual observations
-binary variables have only two categories (0 or 1)
◉ quantitative data (6). Answer: 1. could occur only in discrete units
-number of cars a family owns
-number of bfs dated
2. or could be continuous (falls anywhere on a continuum)
-height of profs at TWU
-hrs spent studying
◉ number of variables. Answer: -univariate data
-bivariate data
-multivariate data
◉ univariate data
bivariate data
multivariate data (2). Answer:one variable data sets
, : two variable data sets
: many variable sets ; can control different factors w large, multivariate
data sets -useful in regressions
◉ time series data (2)
cross-sectional (2)
panel data (2). Answer: -time is meaningful
-data are collected at a regular frequency (ideally)
-snap shot of how things stand at a certain time
-student body of TWU during Spring 2019
-combination of cross sectional and time series
-observation on the same variables over time
◉ data source (2). Answer: 1. primary data
2. secondary data
QUESTIONS WITH SOLUTIONS GRADED A+
◉ rows called (5)
columns called. Answer: - cases, records, subjects/participants, elements
-variables
◉ two types of variables (2). Answer: 1. qualitative (categorical)
2. quantitative
◉ qualitative (4). Answer: -falls into distinct boxes, generally small
number of categories
-qualitative in nature; some quality possessed by an observation
-determined by sorting into categories or by counting
,-often coded to assume numerical values but not meaningful numbers
◉ quantitative (3). Answer: -numerical values determined by measuring
something
-meaningful numbers, generally w units of measurements
-makes sense to perform arithmetic fxns (eg. average)
◉ qualitative data subtypes (2). Answer: 1. ordinal data
2. nominal data
◉ ordinal data (2)
nominal data (5). Answer:data can be ranked (meaningful order) but
intervals are meaningless
-ex: likert scales, bond rating systems
: categories w/o ordering or rank
,-ex: gender, major, country of birth
-subtypes of nominal
-unique identifiers useful to help recognize individual observations
-binary variables have only two categories (0 or 1)
◉ quantitative data (6). Answer: 1. could occur only in discrete units
-number of cars a family owns
-number of bfs dated
2. or could be continuous (falls anywhere on a continuum)
-height of profs at TWU
-hrs spent studying
◉ number of variables. Answer: -univariate data
-bivariate data
-multivariate data
◉ univariate data
bivariate data
multivariate data (2). Answer:one variable data sets
, : two variable data sets
: many variable sets ; can control different factors w large, multivariate
data sets -useful in regressions
◉ time series data (2)
cross-sectional (2)
panel data (2). Answer: -time is meaningful
-data are collected at a regular frequency (ideally)
-snap shot of how things stand at a certain time
-student body of TWU during Spring 2019
-combination of cross sectional and time series
-observation on the same variables over time
◉ data source (2). Answer: 1. primary data
2. secondary data
