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

Turn your calculator on
Press Row 1, Column 6.
Clearing the memory
Press Row 1, Column 1 Row 2, Column 6 (you should see CA, for clear all, above the key).

 

Entering data
one variable
Press Row 1 Column 2 Row 7, Column 3 Row 8, Column 1.  This gets you into the single variable mode.  On the shell, it says 0:SD (for standard deviation).  [Note: The modes are explained on the top of the calculator.]  Enter the first number, then Row 4, Column 6.  Enter the next number, then Row 4, Column 6.  Continue until all the data has been entered.
two variables
Press Row 1 Column 2 Row 7, Column 3 Row 7, Column 1.  This gets you into the linear regression mode. On the shell, it says 1:a+bx  (for linear regression).  [Note: the modes are explained on the top of the calculator.]  Enter the first x-value.  Press Row 4, Column 5.  You should see (x,y) below the key.  On the screen you should see your x-value followed by a comma.  Enter the corresponding y-value, then Row 4, Column 6.  You should see n=1 on the screen, indicating that you have entered one ordered pair.  Enter the other ordered pairs in the same way. 

 

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

Calculating two-variable statistics

r (correlation)
Press Row 4, Column 4 Row 6, Column 5 (you should see r in green above the key). 
regression coefficients
slope
Press Row 4, Column 4 Row 5, Column 5 (you should see b above the key). 
y-intercept
Press Row 4, Column 4 Row 5, Column 4 (you should see a above the key). 


Calculating combinations and permutations
combinations (nCr)
Enter the n value.  Press Row 1, Column 1 Row 6, Column 2 (you should see nCr in yellow above the key).  Enter the r value and press Bottom Right Corner     It's longer than the other keys.
permutations (nPr)
Enter the n value.  Press Row 1, Column 1 Row 6, Column 3 (you should see nPr in yellow above the key).  Enter the r value and press Bottom Right Corner     It's longer than the other keys.

 

Turning the calculator off
Press Row 1, Column 1 Row 1, Column 6

 

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 1, Column 1 Row 2, Column 6 (CA) 
2: Enter Data  Row 1 Column 2 Row 7, Column 3 Row 8, Column 1 Row 7, Column 1 Row 6, Column 2 Row 4, Column 6 Row 7, Column 1 Row 6, Column 3 Row 4, Column 6 Row 7, Column 2   
 Row 8, Column 1 Row 4, Column 6 Row 7, Column 2 Row 7, Column 1 Row 4, Column 6
3: Compute the mean  Row 4, Column 4 Row 6, Column 1 (x
4: Compute the population standard deviation  Row 4, Column 4 Row 6, Column 3 (sx
5: Compute the sample standard deviation  Row 4, Column 4 Row 6, Column 2 (sx


    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 1, Column 1 Row 2, Column 6 (CA) 
2: Enter Data  Row 1 Column 2 Row 7, Column 3 Row 7, Column 1 Row 7, Column 1 Row 4, Column 5 (x,y) Row 7, Column 2 Row 4, Column 6 Row 7, Column 2 Row 4, Column 5  
 Row 6, Column 1 Row 4, Column 6 Row 7, Column 3 Row 4, Column 5 Row 6, Column 2 Row 4, Column 6 Row 6, Column 1 Row 4, Column 5 Row 5, Column 1 Row 4, Column 6
3: Compute the slope of the regression line  Row 4, Column 4 Row 5, Column 5 (b) 
4: Compute the y-intercept of the regression line  Row 4, Column 4 Row 5, Column 4 (a) 
5: Compute the correlation  Row 4, Column 4 Row 6, Column 5 (r) 


    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 7, Column 1 Row 8, Column 1 Row 1, Column 1 Row 6, Column 2 (nCr) Row 6, Column 3 Bottom Right Corner     It's longer than the other keys.
2: Compute 9P5  Row 5, Column 3 Row 1, Column 1 Row 6, Column 3 (nCr) Row 6, Column 2 Bottom Right Corner     It's longer than the other keys.


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

Go to: 

sample problem set Home page