Describing distributions
Types of frequencies
5 number summary
Types of graphs using categorical data
Types of graphs using quantitative data
100

What is the distribution description that is based on how a graph looks? Ex: skewed left, skewed right, symmetric, bimodel, etc.

Shape

100

the ratio between the frequency of a row total or column total to the total frequency of the data

Marginal relative frequency 

100

the data with the lowest value

Minimum

100

a graphical representation of information using bars extending to different heights

Bar graph

100

a technique used to classify either discrete or continuous variables

Stem and leaf plot

200

What is the distribution description that calculates abnormal values?

Outliers

200

The proportion of observations that fall into a specific combination of two categorical variables

Combined Joint relative frequency

200

the value under which 25% of data points are found

Q1 or Quartile one

200

circular statistical graphic which is divided into slices to illustrate numerical proportion

Pie chart

200

a graph that shows the frequency of numerical data using rectangles

Histogram

300

What is the distribution description that helps with location?

Centers

300

dividing a joint relative frequency by its related marginal relative frequency

Conditional relative frequency

300

 the middle number in a sorted ascending or descending list of numbers

Median

300

a special type of stacked bar graph

Segmented bar graph

300

shows how the data is distributed and it also shows any outliers

Box plot

400

What is the distribution description that tells you how far the points are away from each other? 

Variability

400

the value under which 75% of data points are found when arranged in increasing order

Q3 Or Quartile three

400

(Sometimes catagorical)  used to represent any data in the form of dots or small circles on a line

Dot plot

400

(Sometimes quantitative)  used to represent any data in the form of dots or small circles on a line

Dot plot

500

the data with the highest value

Maximum

M
e
n
u