JMP ONE PAGERS financial econometrics

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Aug 21, 2023
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Big (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 For more details on creating interactive graphics with the Graph Builder, see the book Essential Graphing (under Help > Books ). Ver 04/2021 Graphical Displays and Summaries 31
Car Physical (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 ). Ver 04/2021 Graphical Displays and Summaries 33
Car Physical (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. Ver 04/2021 Probabilities and Distribution 35
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