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Observational Unit
Something being described by a set of data (can be a person, animal, or thing).
Population
Entire group of observational units we want to learn something about.
Say “ALL _”
Sample
Subset of the population that we collect information from. n = “sample size”
Be specific!
Census
An attempt to collect information from every single individual in a population
Parameter
A number that describes some characteristic of a population
Usually unknown, so say “the true _”
Statistic
A number that describes some characteristic of a sample
(also called a “point estimate”)
Variable
A characteristic that can take different values for different individuals
Distribution
Tells us what values the variable takes and how often it takes those values
Categorical Variable
A variable that groups individuals together into similar categories
Quantitative Variable
A variable that is a quantitative number
Discrete Variable
A quantitative variable that takes a fixed set of possible values
Usually a result of counting
Continuous Variable
A quantitative variable that can take any value on a number line
Usually a result of measuring
FREQUENCY
How often something occurs as a counted number
RELATIVE FREQUENCY
How often something occurs as a percentage (basically proportions)
p
Used when you are describing the true proportion (PARAMETER)
Example:
p = ?
p̂
Used when you are describing a sample proportion
(STATISTIC)
Example:
p̂ =
Never say more when…
comparing populations of different sizes instead say “greater proportion” or “more likely”
Two Rules of Bar Graphs
Scale:
Make sure there is a y-axis scale
Make sure the y-axis scale starts at 0
Pictographs:
Don’t use them (distort the sense of scale)
Sample Size Tip:
Get at least 10 units in each sample.