By Lawrence S. Meyers
This ebook provides the elemental tactics for using SAS firm consultant to research statistical facts. SAS firm consultant is a graphical consumer interface (point and click on) to the most SAS program. every one bankruptcy features a short conceptual review after which publications the reader via concrete step by step examples to accomplish the analyses. The 11 sections of the ebook disguise quite a lot of statistical techniques together with descriptive data, correlation and straightforward regression, t checks, one-way chi sq., facts adjustments, a number of regression, research of variance, research of covariance, multivariate research of variance, issue research, and canonical correlation research. Designed for use both as a stand-alone source or as an accompaniment to a records path, the booklet deals a gentle route to statistical research with SAS firm advisor for complicated undergraduate and starting graduate scholars, in addition to pros in psychology, schooling, company, well-being, social paintings, sociology, and plenty of different fields.
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Additional resources for Data Analysis Using SAS Enterprise Guide
In the data set, A will be the first variable and will occupy the first column, B will be the second variable and occupy the second column, and so on. When a variable is highlighted in the New Data window, you may specify its properties. For example, consider variable A. 2. The New Data screen in which we specify the variable properties. an “A”) represents the default of a Character (an alphanumeric string of characters with the “A” in the tent standing for alphanumeric) variable. Such a variable is treated as a string of letter and number characters, and it is a naming or nominal variable.
7. A view of the data set with the Process Flow tabs just above it. standardization of a variable. As we can see, two standardizations and one Summary Statistics procedure (uppercase Greek sigma) have been performed; to picture this, a set of different arrows emerge from the data set on the first row. 5. By clicking on the icon for the data set, we can display it. 7. Each column is a variable. Our interest for the moment is in the tabs just above the data set. The Project Designer tab is the one furthest to the left and is dimmed on the screen, indicating that it is not currently active.
4 Importing data from Excel We could have constructed the data set in Excel and then imported it into SAS Enterprise Guide. We illustrate this process here. xls) format. Note that we have placed the variable names in the first row of the grid. 9. We have saved the Excel file to our local computer and will therefore select Local Computer. 10. Our data set is on Sheet 1 of the Excel file. From the main SAS Enterprise Guide menu, select File ➔ Import Data. 9, which gives you a choice of opening a project from either Local Computer or SAS Servers/Folder.
Data Analysis Using SAS Enterprise Guide by Lawrence S. Meyers