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Details analysis, finding the connection amongst transpiring activities, focusing on tendencies and tests hypotheses;

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The flexibility of SAS programming is sufficient to meet up with the needs in the end users in data analyses. It really is versatile with many enter and output formats. The methods are appropriate for descriptive, forecasting, and inferential different types of statistical analyses.

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