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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
 describing; organizing display of data
 _{ex. graphs}

inferential
using a sample to draw a conclusion

qualitative data:
 ss#; label; attributes
 nonnumeric entries

quantitative data:
 numerical measurement
 _{ex. heights, weightany measurement}

Levels of measurement:
 nominal level
 ordinal level
 interval level
 ratio 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; PG13; 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}

