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data
observation
count
measurement
response (survey)
statistics
science of organizing
analyzing
interpreting
population
collection of
all
outcomes, responses, measurements, count
sample
representative of
"all"
_{ subset of the population}
belong to bigger set
parameter
the average
(population)
_{greek letters }
statistics
connected w/sample
_{english letter}
2 main branches of statistics:
descriptive
inferential
descriptive
describing; organizing display of data
_{ex. graphs}
inferential
using a sample to draw a conclusion
qualitative data:
ss#; label; attributes
non-numeric entries
quantitative data:
numerical measurement
_{ex. heights, weight-any measurement}
Levels of measurement:
nominal level
ordinal level
interval level
ratio level
nominal level:
name; label; quality (fast/slow)
qualitative
^{*no mathematical computation can be done*}
ordinal level:
data can be arranged in order or rank
qualitative or quantitative
_{differrences are meaningless/not much difference}
^{ex. PG; PG-13; R}
interval level
can be put in order, but there is a meaningful difference
quanitative
_{"0" does not mean zero}
^{ex. 0 celcius 0 0farenheit}
ratio level
calculate the ratio
quanitative
_{"0" means zero }
^{ex. no $ in your account in Mexico means no $ in the US account}
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Author
Anonymous
ID
4724
Card Set
statistics
Description
vocab words
Updated
2010-01-22T16:58:02Z
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