Statistics Variables.
a set of characteristics that you can measure record or analyze it.
Quantitative.
Describes information that can be measured or expressed it with numbers.
Discrete.
Only takes specific values, in other words, you cannot subdivided.
Number of steps you
wal per day.
Number of students in
a classroom.
You cannot say, you walked 2,5 steps or there are 25,1 Students.
Continuous
Subtopic
Qualitative.
That cannot be counted,
measured or express it
with numbers.
Text, audio, pictures or
visualization tools, such as
concept maps, graph datbases, etc..
Dichotomous
or Binary.
Only takes two
variables.
Gender only has two
values: Female and Male.
Polychotomous.
Two or more values and
can be ordered, unordered or
sequential.
Ordered: 1. if your earn
2,500,000. 2. If you earn
1,500,000. Or 3. If you
earn less than 1,000,000.
Unordered: 1. for lemons,
2. For cherries or 3. for apples.
Sequential: College matriculation
1. Sophomore, 2. Freshman, 3. Junior
or 4. Senior.
Subtopic
Two or more variables
but it has a clear ordering
Considered in between the
definition of categorical and
Quantitative variable.
It fits in Qualitative concept
Economic Status.
Three categories:
-Low.
-Medium.
-High.
Categorical or
Nominal.
Two or more categories
without a clear ordering.
Hair Color:
(Blonde, brown, red, etc).