2025 New Update
Descriptive Statistics - Answer- Refers to the summary of important information aspects
of a data set.
Nominal Scale - Answer- Represents the least sophisticated level of measurement. If
we are presented with nominal observations, all we can do is categorize or group them.
The observation differes merely by name or label.
The observations for any variable can be classified into one of four major measurement
scales: nominal, ordinal, interval, or ratio. - Answer- True
From the scenarios below, indicate the one that BEST reflects the nominal scale. -
Answer- Designate males as 0 and females as 1 to compare gender performance on an
aptitude test.
Cross-sectional Data - Answer- refers to data collected by recording a characteristic of
many subjects at the same point in time, or without regard to differences in time
Which of the following is an example of a variable? - Answer- The number of pizzas
ordered from Pizza Hut per day
Continuous Variable - Answer- Characterized by uncountable values within an interval.
Weight, height, time, and investment return are all examples of continuous variables.
In order to inspect and explore data, we must first "____" and "____" the observations -
Answer- Count; sort
Ordinal Scale - Answer- Reflects a stronger level of measurement. We are able to both
categorize and rank them with respect to some characteristic or trait.
A significant weakness of the ordinal scale is - Answer- an inability to measure
differences between the ranked values.
Sorting allows us to verify that a data set is complete, and also allows us to review the
"_____" of values for each variable. - Answer- range
All of the following are examples of continuous variables EXCEPT: - Answer- The
number of children in a family
Big Data - Answer- Used to describe both structured and unstructured data. Doesn't
necessarily imply complete (population) data.