Making Sense of Data
Analyzing Categorical Data
Displaying Quanitative Data with Graphs
Types of Graphs
Distribution of Quantitative Variable
100

Objects described by a set of data

individuals

100

Describing two categorical variables

Two-way table

100

simplest graph to construct and interpret

dotplot

100

statistical chart consisting of data points plotted on a fairly simple scale

dotplot

100

The way the graph moves and looks

shape

200

 A Characteristic of an individual

Variable

200

Categorical variables in a two-way table

Marginal distribution

200

Left and right sides of the graph are equal

Symmetric

200

presenting quantitative data in a graphical format

stemplot

200

the mean or the median

centers

300

Placing an individual into a category

Categorical variable

300

What is often more informational: Percents or Count?

Percents

300

distribution on the right

Skewed right

300
a diagram consisting of rectangles whose area is proportional to the frequency of a variable and whose width is equal to the class interval.


Histogram

300

how much variablity a graph has

spread

400

Numberical values which you can find an average

Quantitative

400

a distribution of values for one variable that exists when you specify the values of other variables

Conditional distribution

400

distribution on the left

Skewed left

400

presenting 2 sets quantitative data in a graphical format

back to back stemplot

400

how mnay numbers in a data set

count

500

A variable that tell us what value the variable takes and how often it uses it

distribution

500

A relationship between variables

Association

500

graph that has two clear peak

bimodal

500

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

pie chart

500
a number that doesnt belong

outlier