By Sandra D. Schlotzhauer
If you would like to get one e-book to get you thru an introductory records path, which makes use of SAS, seize this. the subjects, from uploading and doing descriptive facts out to the inferential records which are in general taught in a one area stat classification are good coated with a pleasant mix of textual content to good annotated code and output. there's additionally a few very nice fabric at the thoughts of speculation checking out and p-values (and how pattern dimension affects inference). past that fabric, it differs from its major opponents, The Little SAS publication: A Primer, Fourth variation, in that it reads as a textbook rather than the 2 web page summaries of TL SAS booklet and it covers getting begun with SAS and easy inference in additional intensity than universal Statistical equipment for medical learn with SAS Examples, moment version. either one of these books are more suitable within the breadth of subject matters coated yet it is a good one booklet alternative.
There are a pair issues lacking from the publication. an important lacking elements are the best way to use SAS to calculate strength and pattern dimension (power isn't really even within the index) and the shortcoming of knowledge at the newish statistical snap shots plots (like sgplot).
If these weaknesses don't hassle you, it is a solid position to start in order to do the main ordinary facts with SAS.
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Additional info for Elementary Statistics Using SAS
If you use an existing SAS format for a specific procedure, then only that procedure uses the format. If you use a SAS function in a DATA step, then SAS procedures display the values of the new variable. You can assign a label to the new variable in the LABEL statement. If you create your own format, and assign the format to a variable in a DATA step, then SAS procedures automatically use the format. If you create your own format, you can assign it for a specific procedure, and then only that procedure uses the format.
2; The statement can be used either in a DATA step or a PROC step. 2 shows the first few lines of the output from the PROC PRINT step. 2 shows the formatted values for the speeding ticket fines. 1 summarizes a few existing SAS formats for numeric variables. d Description Formats numbers with commas and decimal points. The total width is w, and d is 0 for no decimal points, or 2 for decimal values. Useful for dollar amounts. Formats numbers with dollar signs, commas, and decimal points. The total width is w, and d is 0 for no decimal points, or 2 for decimal values.
1 shows the title at the top that was requested in the TITLE statement. The first column labeled Obs shows the observation number, which you can think of as the order of the observation in the data set. For example, Alabama is the first observation in the speeding ticket data set, and the Obs for AL is 1. The second column is labeled state. This column gives the values for the variable state. The third column is labeled amount, and it gives the values for the variable amount. As discussed earlier in “Assigning Names,” SAS allows mixed case variable names.
Elementary Statistics Using SAS by Sandra D. Schlotzhauer