What is SAS/STAT | SAS/STAT Tutorial for Beginners

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We are back with another interesting topic to learn and is a product by SAS which is the SAS/ STAT Software. We will in this SAS/STAT Tutorial, different statistical procedures while learning Base SAS Programming Language, from now on we will see how the SAS/STAT Software provides ease of doing statistical modeling through its repository of amazing procedures of STAT Software.

So, let’s start with SAS/STAT Tutorial.

Statistical Modeling Overview

In simple terms, statistical modeling is a simplified way to approximate our data and make predictions from this approximation.

Example- Suppose you want to report the weight of a variety of oranges. Now, the can be two ways to do this, first is spending years measuring the weight of every single orange of this variety in the world, and reporting your data in an Excel spreadsheet.

The second way is selecting a 30 orange-wide representative sample of this variety, computing its average and standard deviation and reporting only those two numbers as an approximate description of this weight. Representing a quantity by an average and a standard deviation is a very simple form of statistical modeling.

Let’s Discuss Different Types of Software in SAS Programming Language

Businesses make use of this to work on large data and prepare models to gain insights on data and solve problems.

SAS/STAT Software

SAS/STAT Software – Statistical Modeling

What is SAS/STAT Software?

The link between the ability to make the right decisions and the success of an organization go hand in hand. From corporations to government agencies, from universities to research institutes, all organizations are increasingly turning to statistical analysis to help them make their critical decisions.

To achieve this, the right kind of statistical tool is very important. Through statistical analysis, an organization can improve its processes, solve problems and satisfy its clients and customers.

Read About SAS/IML Software in Detail

While there are many statistical analysis tools on the market today, the only one gives you complete, comprehensive tools for data analysis–SAS/STAT software from SAS Institute.

SAS/STAT Procedure is one of the many products offered by the SAS System which is fully integrated and which provides extensive statistical capabilities that meet the needs of an entire organization.

SAS/STAT Software

SAS/STAT Tutorial – Example

Working of SAS/STAT

SAS/STAT software provides tools and procedures for statistical modeling of data. For example-  analysis of variance, linear regression, predictive modeling, statistical visualization techniques and much more. The software meets the analytical needs of both specialized and enterprise-wide problems.

Read about SAS Predictive Modeling Procedure 

For whom is the SAS/STAT Software Designed?

SAS/STAT software is basically designed for statisticians, engineers who require statistical modeling of data and business analysts.

SAS/STAT Software

SAS/STAT Tutorial

Importance of SAS/STAT

Today, organizations are increasingly turning towards statistical processes to aid decision making. With the SAS System, you can easily access data from any source such as the internet, or a PC, perform data management, carry out statistical analysis, and then present your findings of the analysis in a variety of reports and graphs-all of it inside a single software environment.

SAS/STAT software enables you to evaluate data from a variety of sources, these sources can be clinical trials, marketing databases, customer preference studies, health surveys, and so on.

Let’s explore the features of SAS/STAT

SAS/STAT Tutorial – Application

SAS/STAT major application lies in statistical modeling, observing trends in data, making models and deciphering patterns through it. Performing bivariate, multivariate analysis, preparing correlation and regression graphs. Producing box plots, scatter plots for data comparison.

Its application in multivariate analysis includes factor analysis, preference analysis and other various kinds of analysis. SAS/STAT software provides statistical techniques for applications that span every industry:

  • Manufacturing: Identify important factors in the manufacturing of a machine.
  • Food: Identify and target the right audience for a new food item
  • Telecommunications: Determine factors involved in communication with a pilot at an airport
  • Government: Predict opinions of the public through statistical sampling techniques
  • Environmental Research: Describe air pollution patterns with the use of spatial statistics
  • Health: Determine factors influencing healthcare of patients
  • Retail: predict customer behavior on the launch of a new products
  • Developing risk models
  • Performing diagnostic statistics
SAS/STAT Software

SAS/STAT Tutorial – Applications

SAS/STAT System Requirements

In this Part of SAS/Tutorial, we will be working on SAS university edition which is available for free on www.sas.com. The SAS/STAT is a paid software but majority of its features are available in university edition too, which we will be exploring in the coming tutorials. The SAS University edition looks like the one shown below.

SAS/STAT Software

SAS/STAT Tutorial – SAS University edition

Below is a sample image of a bar chart that is used for statistical modeling.

SAS/STAT Software

SAS/STAT Tutorial – Example of Statistical Modeling

Follow this Quantile Regression in SAS/STAT

This was all about SAS/STAT Tutorial. Hope you like our explanation.

Conclusion

Hence, In this SAS/STAT Tutorial, we learn the beginning and a brief introduction to what is SAS/STAT Software, who is it for and what can it do. We will be learning about it in detail in the upcoming SAS/STAT tutorials. So stay tuned to learn more interesting things that you can do with your data, just like we saw in SAS programming.

Furthermore, if you have any query feel free to ask in a comment section.

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1 Response

  1. OBIANUJU says:

    I want to learn how to use the SAS/STAT software to analyse my data. Any available training online

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