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Statistics
Qualitative-nominal
no natural ordering of the variable values
not in numbers
Statistics
Qualitative-ordinal
ordering of the variable values
different levels
evaluation as good, very good, alright, bad
Statistics
Quantative- interval
Numerical data without a fixed/natural zero
Differences between values can be interpreted; not ratios
Statistics
Quantitave- ratio
Numerical data with a fixed/natural zero
Both differences and ratios of values can be
interpreted
"twice as much"
Statistics
Quantatative- discrete data
variable can only take certain numbers as values
Statistics
Quantatative- continuous data
variable can take any value within a certain range
ex. price
Statistics
Descriptive statistics
data for a whole population N or a sample n
uses numerical and graphical methods to explore, analyze, and present the data
Statistics
Inferential statistics
data for a sample n only, want to draw conclusions about a larger set of data or the whole population N
make estimates, predictions, or other generalizations about a larger set of data
relies on probability theory
Statistics
Univariate
only one variable
Statistics
Bivariate
two variables
Statistics
Absolute frequency
Discrete data
A X ∈ B = Number of all units for X ∈ B
A (X = x) or (A X ≥ x) or A (X < x)
Statistics
Relative frequency
h X ∈ B = A X∈B/N = Share of all units for which X∈B
h (X = x) or h (X ≥ x) or h (X < x)
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