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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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