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The ABC of Summary Statistics and T Tests in SAS

The ABC of Summary Statistics and T Tests in SAS
 

Getting introduced to statistics for SAS training? Then, you must know how to create summary statistics (such as sample size, mean, and standard deviation) to test hypotheses and to figure confidence intervals. In this blog, we will show you how to furnish summary statistics (instead of raw data) to PROC TTEST in SAS, how to develop a data set that includes summary statistics and how to run PROC TTEST to calculate a two-sample or one-sample t test for the mean.

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How to Simulate Multiple Samples From a Linear Regression Model

In this blog post, we will learn how to simulate multiple samples efficiently. In order to keep the discussion, easy we have simulated a single sample with ‘n’ number of observations, and ‘p’ amount of variables. But in order to use the Monte Carlo method to approximate the distribution sampling of statistics, one needs to simulate many specimens with the same regression model.

 

How to Simulate Multiple Samples From a Linear Regression Model

How to Simulate Multiple Samples From a Linear Regression Model


 

The data steps in SAS in  most blogs have 4 steps mentioned for so. However, to simulate multiple samples, put DO loop around these steps that will generate, the error term and the response variable for very observation made in the model.

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Understanding the Difference Between ‘Sub-Setting IF’ and ‘IF-Then-Else-IF Statement’ in SAS Programming:

Winter is knocking at our doorstep and we are hoping to get our brains worked out with some rigorous learning.

 

Understanding the Difference Between ‘Sub-Setting IF’ and ‘IF-Then-Else-IF Statement’ in SAS Programming:
 
However the weather remains, as data analysts using SAS programming, we can definitely use the weather forecasts to provide the data for explaining the concepts of IF and IF-THEN-ELSE statements to our readers interested in learning SAS predictive modeling.

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