The row of buttons SHIFT, ALPHA, etc. is not counted as a row for the purpose of this page.

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

Turn your calculator on
Press The AC Slash ON Key: Row 5, Column 5.
Clearing the memory
Press top left (gray key), then press The AC Slash ON Key: Row 5, Column 5. (It says Scl above the key), finally, press Bottom Right.

 

Entering data
one variable
Type in first value, press The M Plus Key: Row 4, Column 5, type in second value, press The M Plus Key: Row 4, Column 5, etc.
two variables
Clear memory. Type in x-value, press  Row 4 - Column 5, type in y-value. Press The M Plus Key: Row 4, Column 6, continue in this vein.

 

Calculating one-variable statistics

You must press The fifth key in the row of gray keys at the top. The fifth key in the row of gray keys at the top. The One Key: Row 7, Column 1 to enter the "SD" mode.
mean (x)
Press Top Row leftmost key The One Key: Row 7, Column 1 (It says x above the key.) Press Row 8, Column 5.
standard deviation for populations (s or sn)
Press Top Row leftmost key Row 7, Column 2 (It says sn above the key.) Press Row 8, Column 5.
standard deviation for samples (s or sn-1)
Press Top Row leftmost key Row 7, Column 3 (It says sn-1 above the key.) Press Row 8, Column 5.

Calculating two-variable statistics

You must press The fifth key in the row of gray keys at the top. The fifth key in the row of gray keys at the top. Row 7, Column 2 The One Key: Row 7, Column 1 to choose the linear regression mode.
r (correlation)
Press Top Row leftmost key Row 4 - Column 3 (It says r above the key (on the left)). Press Row 8, Column 5.
regression coefficients
slope
Press Top Row leftmost key Row 5, Column 2 (It says B above the key (on the left)). Press Row 8, Column 5.
y-intercept
Press Top Row leftmost key Row 5, Column 1 (It says A above the key (on the left)). Press Row 8, Column 5.


Calculating combinations and permutations
combinations (nCr)
Enter the n value. Press Top Row leftmost key Row 6, Column 5 (you should see nCr above the key) Enter the r value, then Row 8, Column 5.
permutations (nPr)
Enter the n value. Press Top Row leftmost key Row 6, Column 4 (you should see nPr above the key) Enter the r value, then Row 8, Column 5.

 

Turning the calculator off
Press Far right key on the top row of gray keys..

 

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   The Two Key: Row 7, Column 2 The A C ON Key: Row 5, Column 5
2: Enter the data:   The M Plus Key: Row 4, Column 5 The M Plus Key: Row 4, Column 5 The Two Key: Row 7, Column 2 The M Plus Key: Row 4, Column 5 The Two Key: Row 7, Column 2 The M Plus Key: Row 4, Column 5
3: Compute the mean  Top Row leftmost key The One Key: Row 7, Column 1 Bottom Right
4: Compute the standard deviation (population):  Top Row leftmost key The Two Key: Row 7, Column 2 Bottom Right
5: Compute the standard deviation (sample):  Top Row leftmost key The Three Key: Row 7, Column 3 Bottom Right


    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   The Three Key: Row 7, Column 3 The A C ON Key: Row 5, Column 5
2: Enter Data   The Two Key: Row 7, Column 2 The M Plus Key: Row 4, Column 5 The Two Key: Row 7, Column 2 The M Plus Key: Row 4, Column 5 The Three Key: Row 7, Column 3 The M Plus Key: Row 4, Column 5   The M Plus Key: Row 4, Column 5
3: Compute the slope of the regression line   (a)
4: Compute the y-intercept of the regression line   (b)
5: Compute the correlation   Row 4 - Column 3  (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 6, Column 5 Row 8, Column 5
2: Compute 9P5 Row 6, Column 4 Row 8, Column 5


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

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