School

Georgetown University **We aren't endorsed by this school

Course

ECONOMICS 354K

Subject

Statistics

Date

Aug 21, 2023

Pages

14

Uploaded by ChancellorElementNewt30 on coursehero.com

Big Class.jmp (under Help > Sample Data Library)
Interactive Graphing with Graph Builder
Use Graph Builder to interactively create graphs for one or more variables, including line plots, splines, box
plots, bar charts, histograms, mosaic plots, maps and more.
Drag and Drop to Visualize Data
1.
From an open JMP® data table select
Graph > Graph
Builder
.
2.
Drag a variable from the
Variables
list and drop it in the
desired drop zone. In the examples (right), Weight is in the
X
zone and Height is in the
Y
zone.
3.
To add a grouping variable, drag and drop a variable in the
Group X
or
Group Y
zone. In the example, Sex is in the
Group X
zone.
4.
To change the graphical display,
click on a graph element
icon
. Or, click and drag an icon onto a graph frame. Here,
Line of Fit has been selected.
5.
Change
Summary Statistics
and other display options for
the selected graph elements.
6.
Click the
Done
button (top left) when finished.
Tips:
•
Right-click in the graph to change graph properties.
•
To replace a variable with a new variable, drag the new variable and drop it in the center of the drop zone.
•
By default, Graph Builder displays data points. If continuous variables are in both the X and Y zones a smooth
spline will display (lambda = 0.05).
•
More than one variable can be assigned to an X or Y zone, or to a group zone. Drag a variable
to either side of the existing variable in the zone - a blue ribbon will indicate where the new
variable will be placed when dropped.
•
To change the modeling type (to use different graph elements),
right-click on the variable and select the new data type (if available).
Other Drop Zones:
•
Drop a variable in
Wrap
to trellis the graph horizontally and vertically.
•
Drop a variable in
Color
to create a legend and color by values of the variable.
•
Drop a variable in
Overlay
to color and overlay graphs for each value of the variable on one graph.
•
If data has been summarized (a frequency variable exists), drag the variable to the
Freq
zone.
•
If a column defines a physical shape, drag the variable to
Shape
to create a map (shape files must exist).
•
Drop a variable in
Size
to scale markers or map shapes according to the value of the size variable.
Note: Instructions also apply to the
iPad® Graph Builder Application
(see jmp.com/iPad). For more details on
creating interactive graphics with the Graph Builder, see the book
Essential Graphing
(under
Help > Books
).
jmp.com/learn
Ver
04/2021
Graphical Displays and Summaries
31

Car Physical Data.jmp (Help > Sample Data Library)
Summarizing Data Using Tabulate
The Tabulate platform provides a tool to interactively construct tables of descriptive statistics.
Drag and Drop to Summarize Data
•
From an open JMP
®
data table select
Analyze > Tabulate
.
•
Drag and drop variables from the column list to the drop zone
for rows and columns.
o
Country
(below, left) is in the rows drop zone - the number
of observations per country is displayed.
o
Horsepower
(middle) is in the columns drop zone as an
analysis column - the sum for horsepower is displayed for
each country.
•
Drag and drop one or more summary statistics from the middle
panel into the results area.
Mean
and
Std Dev
are displayed for
each country (below, right).
Tips:
•
Click
Undo
to reverse the last change,
or use
Start Over
to clear the display.
•
Click and drag variables in the table to rearrange, or right-click on a variable to
delete or change the format.
•
To change the numeric formats (i.e., decimal places), use
Change Format
at the
bottom of the window and select the desired format.
•
To add
new summary panels
to the table, drag and drop the new variable to the
bottom or left of the table. Here, Type has been added to the bottom of the
original table.
•
To
add additional row or column variables
, drag and drop a
new variable on either side of the current variable in the
table. Here, Type has been added next to Country and
Horsepower has been added next to Weight.
•
To create a data table, click
Done
, then select
Make Into
Data Table
from the
top
red triangle
.
Note: For more details, see the book
Basic Analysis
(under
Help > Books
).
jmp.com/learn
Ver
04/2021
Graphical Displays and Summaries
33

Car Physical Data.jmp
(Help > Sample Data Library)
Assessing Normality
This guide provides some ways to assess the fit of a normal distribution to a continuous variable. See options for
fitting and assessing the fit of other non-normal distributions in the
Fitting Distributions
guide.
1.
From an open JMP
®
data table, select
Analyze > Distribution
.
2.
Select one or more continuous variables from
Select Columns
and click
Y, Columns
.
3.
Click
OK
to generate a histogram and descriptive statistics (a horizontal layout is shown below).
Normal Quantile Plot
Click on the
red triangle
for the variable (Weight, in this example), and select
Normal Quantile Plot
.
Fitting a Normal Distribution
1.
Select
Continuous Fit > Fit Normal
from the
lower red triangle
.
2.
In the resulting output, click on the
red triangle
for
Fitted Normal
and select
Goodness of Fit
.
Two Goodness of Fit tests are
performed to evaluate if the normal
distribution is a good fit to the data
(Shapiro-Wilk and Anderson Darling).
Both have large p-values indicating
that there is no statistical evidence
suggesting the normal distribution is
not a good fit to these data.
If the data more or less follow a straight line (fat
pen test), we can conclude that the data are
reasonably approximated by a normal
distribution.
For this example, we would conclude the
distribution is approximately normal.
jmp.com/learn
Ver
04/2021
Probabilities and Distribution
35

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