# lab4 - entering raw data consisting only of one variable(X...

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STA511 LAB #4 This lab provides some exposure to using the SAS arithmetic functions, as well as creating numeric and character variables. The Normal Distribution is the most widely-used probability distribution in statistics. In this example, we will use this distribution to practice entering formulas in SAS. A. The Normal Distribution has the formula: 2 2 2 ) ( 2 1 σ μ π - - = x e Y Write down on a piece of paper a plan as to how you will enter this formula in SAS. In other words, create a new variable called Y: Y = [ENTER YOUR FORMULA HERE] Sigma, mu, and pi will be created by using a variable assignment of a constant number. For example you will use the SAS statement: SIGMA = 1; If you wish to input a value of one for sigma. You will create a variety of values for X in Part B. Later, we will put this formula directly in your SAS program and plug in different numbers for these variables. B. Create a temporary data set by

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Unformatted text preview: entering raw data consisting only of one variable (X). Let this data set have 40 observations, starting at -5 and increasing by 0.25 until reaching +5. Later, we will learn a shortcut way to do this, but, for now, just enter the data manually:-5 -4.75-4.5 . . . 4.75 5 ; C. Now, go back before your data was entered in your DATA step and in two statements, create constant values for SIGMA and MU. Let SIGMA=2 and MU=1. Also, in the same manner, create a new character variable called ITERATION which will always equal 'FIRST'. D. Run a PROC PRINT to check your data set. E. Now, enter the formula you designed in PART A after your assignment statements that you created in PART C. F. Run PROC PLOT or PROC GPLOT with X as your X-axis and Y as your Y-axis. Does the plot look as you expected? G. Go back and try entering different values of MU and SIGMA. What happens to your plot?...
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lab4 - entering raw data consisting only of one variable(X...

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