Category 1
category 2
catergory 3
category 4
100

Tells us what values the variable takes and how often

Distribution 

100

How similar or varied observed values are on a graph

Spread

100

Objects being described in data 

for example: people/animals/things

Individuals 

100

Displays percent of each frequency 

relative frequency 

200

When specific values of one variable are common with another

association 

200

The measure of asymmetry on a graph

Skewed

200

Characteristic of an individual, can take on different values

variable

200

 two way table count is the distribution of values of that variable amount all individuals described by the table

marginal distribution 

300

When right and left side of the graph are approximately mirror images

Symmetric

300

Process of interpreting data

Data analysis 

300

Places an individual into one of several groups or categories 

categorical variable 

300

the odds one event will occur given the fact another event already has

conditional distribution 

400

The midpoint of distribution 

Median

400

The pattern or form of data when it’s graphed 

Shape

400

Numerical values for which if makes sense to find an average for

Quantitative variables

400

Science of learning from data

statistics 

500

A value is this when it falls more or less than 1.5 X IQR + Q3 or - Q1

outliers

500

Statistical measure that identifies the amount of variation or dispersion of a graph 

standard deviation 

500

Displays counts of each category 

frequency 

500

the likelihood of two events occurring at the same time

Joint probability