The position of the graphically represented keys can be found by moving your mouse on top of the graphic.

Warning: On some old versions, the green key is actually orange. The commands are the same.

Turn your calculator on
Press C Key: Row 7, Column 1 (you should see ON written below the key).
Clearing the memory
To clear the statistical memory, press Row 6, Column 1 The H P Arrow Key: Row 3, second one in (you should see CLS above the key).  To clear all the memory, press The Green Key: Row 6, Column 1 The Input Key: Row 3, long key on the left (you should see CLEAR ALL above the key).

 

Entering data
one variable
Enter the first number, then press The Sigma Key: Row 1, Column 6.  Enter the second number, then press The Sigma Key: Row 1, Column 6. Continue until all the data has been entered. 
two variables
Enter the first x-value; press The Input Key: Row 3, long key on the left.  Enter the first y-value; press The Sigma Key: Row 1, Column 6.  Enter the second x-value; press The Input Key:Row 3, long key on the left.  Enter the second y-value; press The Sigma Key: Row 1, Column 6.  Continue until all the data has been entered. 

 

Calculating one-variable statistics
mean (x)
Press Row 6, Column 1 Row 4, Column 2 (you should see x, y above the key).
standard deviation for populations (s or sn)
Press Row 6, Column 1 Row 4, Column 4 (you should see sx, sy above the key).
standard deviation for samples (s or sn-1)
Press Row 6, Column 1 Row 4, Column 3 (you should see sx, sy above the key).

Calculating two-variable statistics
r (correlation)
Press Row 6, Column 1 (you should see , r above the key).  The screen will show you . Press Row 6, Column 1 Row 5, Column 1 (you should see SWAP above the key).  Now the screen will show you r. 
regression coefficients
slope
Press Row 7, Column 2 (you are telling the calculator that you are interested in what happens at x=0; this will be important for the y intercept).  Press Row 6, Column 1 Row 5, Column 3 (you should see , m above the key).  The screen will show you (the predicted value for y if x=0).  Press Row 6, Column 1 Row 5, Column 1 (you should see SWAP above the key).  Now the screen will show you m, the slope.
y-intercept
Press Row 7, Column 2 (you are telling the calculator that you are interested in what happens at x=0; we need this to get the y intercept).  Press Row 6, Column 1 Row 5, Column 3 (you should see , m above the key).  The screen will show you .   Since this is the predicted value of y when x=0, it is also the y-intercept.


Calculating combinations and permutations
combinations (nCr)
This calculator has no direct way to do combinations.  However, it has the factorial function, Row 6, Column 1 Row 6, Column 4 (has n! above it).  To compute nCr, compute n! / [r!(n-r)!].
permutations (nPr)
This calculator has no direct way to do permutations.  However, it has the factorial function, Row 6, Column 1 Row 6, Column 4 (has n! above it).  To compute nPr, compute n! / r!

 

Turning the calculator off
Press Row 6, Column 1 Row 7, Column 1 (should say OFF above it).

 

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 ex as (ex).

A: What is the mean and standard deviation of the following list of numbers?

15      16      20      21

1: Clear Memory  Row 6, Column 1 Row 3, second one in (CLS)
2: Enter the data  Row 6, Column 2 Row 5, Column 3 Row 1, Column 6 Row 6, Column 2 Row 5, Column 4 Row 1, Column 6 Row 6, Column 3 Row 7, Column 2 Row 1, Column 6 Row 6, Column 3  
 Row 6, Column 2
3: Compute the mean  Row 6, Column 1 Row 4, Column 2 (x, y)
4: Compute the population standard deviation.  Row 6, Column 1 Row 4, Column 4 (sx, sy)
5: Compute the sample standard deviation:  Row 6, Column 1 Row 4, Column 3 (sx, sy)


    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  Row 6, Column 1 Row 3, second one in (CLS)
2: Enter Data  Row 6, Column 2 Row 3, long key on the left Row 6, Column 3 Row 1, Column 6 Row 6, Column 3 Row 3, long key on the left Row 1, Column 6 Row 6, Column 4  
 Row 3, long key on the left Row 5, Column 3 Row 1, Column 6 Row 3, long key on the left Row 4, Column 2 Row 1, Column 6
3: Compute the slope of the regression line  Row 7, Column 2 Row 6, Column 1 Row 5, Column 3 (, m) Row 6, Column 1 Row 5, Column 1 (SWAP) 
4: Compute the y-intercept of the regression line.  Row 7, Column 2 Row 6, Column 1 Row 5, Column 3 (, m) 
5: Compute the correlation.  Row 6, Column 1 (, r) Row 6, Column 1 Row 5, Column 1 (SWAP)


    You should get a slope of 1.6, a y-intercept of 0.5, and a correlation of 0.992277876.
    The regression line would be: y = 1.6x+0.5.

C: Find 10C6 and 9P5.
1: Compute 10C6  Row 6, Column 2 Row 7, Column 2 Row 6, Column 1 Row 6, Column 4 Row 3, long key on the left Row 5, Column 4 Row 6, Column 1 Row 6, Column 4
2: Compute 9P5  Row 4, Column 4 Row 6, Column 1 Row 6, Column 4 Row 3, long key on the left Row 5, Column 3 Row 6, Column 1 Row 6, Column 4


You should get 10C6 = 210 and 9P5= 15120.

For more information, consult a manual.

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