SAS uses a statistical language to tell you what the data mean, rather than just reading off the numbers and formulas. Because it’s only natural for people to get nervous over statistics, SAS statistical language was developed to help people stay calm and collect the data they need to make sure that their decisions are correct. Statistics are important when making business decisions; they help you get the bottom line for a business and see whether you are meeting your projections.

Statistical language comes in three broad categories. They are known as scalar, vector, and matrix. Let’s take a look at each of them.

Scalar language is used for most statistical calculations. It is basically a word used in place of numbers. A scalar can be used in place of a value. This is often used with a time-series variable like time or temperature. The values of the time series can be associated with one or more scalars.

Vector language is used when you have a data frame or other type of data frame and you want to associate one or more values with a scalar. Vector language is also called as column vector notation. This is commonly used in engineering, biology, or finance.

Matrix language is used for some matrix-related calculations. You can use matrix language to determine a number of different things. One example of a matrix is when you are trying to find the average number of calls per minute for a phone company.

SAS uses the mathematical notation of both scalar and vector language. If you have a data frame and you want to add scalars, you will use an addition operator. However, if you want to find out the average number of calls per minute for a phone company, you would use an arithmetic mean operator. In order to calculate the average call time for a phone company, you would use the following matrix expression: A Matrix of A+B+C+D= C. What this means is that you would multiply the values of the x’s by the values of the y’s.

While you can find an answer to your question about the average calls per minute, you need to consider what your true answer is. There is no right or wrong answer to a scalar or matrix expression. Your true answer depends on the characteristics of your data set and the number of variables you have in your data frame.

There is no real mystery behind this equation; it is a very simple math problem. If you want to solve for C, you will need to multiply the y’s by the x’s. Solving for C is as easy as multiplying the results of your matrix operations by themselves.

SAS statistical language is used to produce reports for business decision making. It’s true that there are other software packages out there that make it a point to be able to solve such questions, but SAS makes it a point to provide the tools that allow you to compare solutions to the question of how many calls per minute is the average. No other SAS software package does this.

You can have the best sales team in the world, but if they are not smart in predicting the future, your business decision will be wrong. Only statistics can give you the insight that you need to make decisions. Statistics are simply the numbers that tell you what your business needs to see and do in order to survive and succeed.

Using SAS statistical language makes it easy for you to read data. You will no longer be bothered by the cryptic expressions used by other programs. Instead, you will be able to understand the true answer to your question of how many calls per minute.

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