AP Stats Preliminary Terms Flashcards
Observational Unit
the individual people, objects, or actions that are observed to collect data
Data
measurements, numbers, or categories that are recorded from individual Observational Units
Variables
characteristic(s) of interest from the OU’s that will be recorded
Distribution
All the options that happen for a variable and how often those options happen
Often shown as a visual summary of the distribution
Population
the entire set of OU’s that exist
there are specific # of OU’s in a population, although the population size is often unknown
example: all HCHS students
Process
situation with an endless series of potential observations
Usually repeated observations from one object or person
Examples: coin flips, dice rolls, Old Faithful eruptions, 100m dash times for an individual
Random Process
a process when where individual outcomes are not able to be known ahead of time
Probability
Long-run proportion of “success”
“long-run” = if process is repeated many, many times
“success” = outcome of interest
Model
a simplified version of reality that allows for mathematical study
Simulate
use a model to re-create a random process of interest
Standard Deviation
the typical distance data values fall from the center of their distribution for quantitative data
a measure of spread / variability
Quantitive Variable
the characteristic of interest recorded from the OU’s are measurements or numbers with numerical meaning
not just number-based labels like zip codes or social security numbers
easy check – is the average value summarize something meaningful?
Categorical Variable
the characteristic of interest recorded from the OU’s are categories, labels, words, or groups