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Extra resources for Data Embedding and Digital Watermarking
One of the most common procedures is to replace missing values with the mean for the entire series. Other procedures include replacing missing values with the mean or median of nearby points (as indicated by the user) or linear interpolation. Overall, missing data represents a complex problem for the data analyst and simple solutions such as replacement of missing values is generally not advised. Further, imputing missing values is not recommended for variables with a large amount of missing data.
Double-click on a graph or chart if you wish to edit it. You can go directly to any part of the output by clicking on the appropriate icon in the outline in the left pane. You may also view the output by using the directional arrows buttons on the vertical scroll bar at the right edge of the window. 6 USING SPSS SYNTAX 1. 2. 3. 4. 5. 6 Make the viewer window the active window. Click on File from the main menu. Click on Print from the pull-down menu. This opens the Print dialog box. If you wish to print the entire file, click on the All Visible Output option.
5). An alternative method is to use the Explore procedure, as illustrated below: 1. 2. 3. 4. 5. 6. 1 Click on Analyze on the menu bar. Click on Descriptive Statistics from the pull-down menu. Click on Explore from the pull-down menu. 8. Click on the name of the variable (“winby”) and click on the top right arrow button to move it to the Dependent List box. ) Click on Plots in the Display box. This will suppress all statistics in the output. ) Click on the Plots button to open the Explore: Plots dialog box.