The position of the graphically represented keys can be found by moving your mouse on top of the graphic.
Turn your calculator on  
Press .  
Clearing the memory  
Press (you should see CA, for Clear All, above the key). 
Entering data  
one variable  
Press (this brings us to the STAT menu). Press for one variable mode. Enter the first number, then . Enter the second number, then . Continue until all the data has been entered.  
two variables  
Press (this brings us to the STAT menu). Press for twovariable mode (it calls it linear regression mode). Enter the first xvalue, then . Enter the corresponding yvalue, then . Enter the next pair the same way, and continue until all the data has been entered. 
Calculating onevariable statistics  
mean (x)  
Press . You should see x over the 4 key.  
standard deviation for populations (s or s_{n})  
Press . You should see s_{x} over the 6 key.  
standard deviation for samples (s or s_{n1})  
Press . You should see s_{x} over the 5 key. 
Calculating twovariable statistics 

r (correlation)  
Press . You should see r over the ÷ key.  
regression coefficients  
slope  
Press . You should see a over the left parenthesis key.  
yintercept  
Press . You should see b over the right parenthesis key. 
Turning the calculator off  
Press and the calculator will turn off. 
Worked Out Examples
In the following examples, we list the exact key sequence used to find the answer. We will list the keys by the main symbol on the key. In parentheses, we will list a helpful mnemonic, e.g. we will list e^{x} as (e^{x}).
A: What is the mean and standard deviation of the following list of numbers?
15 16 20 21
1: Clear Memory  
2: Enter Data 

3: Compute the mean  (x) 
4: Compute the population standard deviation  (s_{x}) 
5: Compute the sample standard deviation  (s_{x}) 
You should get a mean of 18, population standard deviation of
2.549509757 and a sample standard deviation
of 2.943920289.
B: Find the linear regression line for the following table of numbers. Also find the correlation.
x  1  2  3  4 
y  2  4  5  7 
1: Clear Memory  
2: Enter Data 

3: Compute the slope of the regression line  (a) 
4: Compute the yintercept of the regression line  (b) 
5: Compute the correlation  (r) 
You should get a slope of 1.6, a yintercept of 0.5, and a
correlation of 0.992277876.
The regression line would be: y = 1.6x+0.5.
For more information, consult a manual.
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