Statistical Analysis System (SAS) is the leader of business analytics. It is useful for data-driven decisions. It helps in business intelligence market where more than 70.000 websites are making the decisions faster than before. Through SAS, the customers are able to make decisions in a formal way to make informed business choices. The application innovation helps the world in business analytic which helps an organization to interpret the big data. For example; Facebook and Gmail. These sites have big data. Several recommendations and possible conclusions are made by Statistical Analysis System. There are various tasks that can be performed by SAS including report analysis and writing, graphical representing, statistics and numerical analysis, retrieval of data and its management. It helps a business in evaluating, forecasting, planning and even helps in decision making.

**SAS origin**

During 1966 Anthony Barr research on agriculture sector “how to increase crops yield” the SAS was originated at North Carolina University.

**Descriptive Analysis**

Descriptive analysis is very essential step before statistical analysis. It gives you an idea regarding the data distribution which helps you to detect the typos and outliers of a particular data. Moreover, through the descriptive analysis of data you can easily identify the link between different variables. After clusters and outliers are made than you move further to statistical analysis. There are various approaches and types which is used to analyze the data.

**Procedures of Descriptive Statistics in SAS or STAT**

There are some methods which are used to perform SAS/STAT in descriptive statistics of a sample data.

**PROC STD RATE**

These are the procedures used by companies to study two-populations. It provides statistic summary of the data for example the risk & rates estimations. Through ODS graphics, they also used to display the stratum-specific statistics.

**Box Plot in SAS**

There are various types of Box Plots. In SAS, a box plot is a measurement of groups which are organized. First we calculate the mean, standard deviations, Quartile 1-3 and then we identify the observations of the group.We select a variable from data and categorized them into different groups. Let’s take an example if we will do non-categorical SAS. Let’s take an Example#1 you will first type procsgplot data=mylib.employees and then vbox salary and will click run.