We are going to generate 50 random values from a normal population with mean equal to 60 and standard deviation equal to 6.
Open a new JMP data table.
Go to the Rows menu and select Add Rows...:
Fill the resulting dialog box as follows:
Click OK:
Right click on top of Column 1 and select Formula...:
You get to the JMP calculator. Select Random Normal from the Random group of functions:
Multiply Random Normal() by the standard deviation (6) and add the mean (60):
Be sure that the dotted lines in your formula look just like the picture above.
Click OK. You will get 50 random values from a normal population with mean 60 and standard deviation 6:
(Don't expect your data to look exactly like what you see below!)
To check that this data really comes form a normal distribution, we proceed as in the
tutorial to check for normality:
Notice that the p value is close to one so that these data is consistent with a normal distribution.
Also notice the confidence intervals based on these data for the mean (Mu) and the standard deviation (Sigma) contain the true value of the mean, 60 and the true value of the standard deviation (6).