Turn your calculator on  
Press .  
Clearing the memory  
Select the mode you want: for basic statistics and for linear regression. Then press (you should see CSR, for Clear Statistical Registers, above the key). 
Entering data  
one variable  
Clear the memory as described above. Enter each number in the list and press after it.  
two variables  
Press to get into linear regression mode. Enter the first x value and press . Enter the first y value and press . Finish by pressing . Enter the remaining pairs in this fashion: xvalue, , yvalue, , . 
Calculating onevariable statistics  
mean (x)  
Press .  
standard deviation for populations (s or s_{n})  
Press .  
standard deviation for samples (s or s_{n1})  
Press . 
Calculating twovariable statistics 

r (correlation)  
Press .  
regression coefficients  
slope  
Press .  
yintercept  
Press . 
Calculating combinations and
permutations
Before you do combinations and permutations, press AC MODE DEC to get back to normal calculations mode. 

combinations (nCr)  
Enter n, then press . Enter r and press . Then press .  
permutations (nPr)  
Enter n, then press . Enter r and press . Then press . 
Turning the calculator off  
Press . 
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  (STAT 1) (CSR) 
2: Enter Data  
3: Compute the mean  
4: Compute the population standard deviation  
5: Compute the sample standard deviation 
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  (STAT 2) (CSR) 
2: Enter Data  
3: Compute the slope of the regression line  
4: Compute the yintercept of the regression line  
5: Compute the correlation 
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.
1:Compute _{10}C_{6} 

2: Compute _{9}P_{5} 
You should get _{10}C_{6 }= 210 and _{9}P_{5}=
15120.
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