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 above the key for Clear All.

 

Entering data

Make sure you are in statistics mode: Press Row 1, Column 1    It's Yellow Row 3, Column 6 (mode) Row 7, Column 3 for one variable and Row 1, Column 1    It's Yellow Row 3, Column 6 (mode) Row 7, Column 3 Row 7, Column 1 for regression calculations.

one variable
Enter the first number and press Row 4, Column 6. Enter the second number and press Row 4, Column 6. Continue for all the other numbers in the list.
two variables
Enter the first x-value, press Row 4, Column 5, and enter the corresponding y-value. Press Row 4, Column 6. Continue for all the other ordered pairs.

 

Calculating one-variable statistics
mean (x)
Press Row 4, Column 4 Row 6, Column 1. You should see x above the 4 key.
standard deviation for populations (s or sn)
Press Row 4, Column 4 Row 6, Column 3. You should see sx above the 6 key.
standard deviation for samples (s or sn-1)
Press Row 4, Column 4 Row 6, Column 2. You should see sx above the 5 key.

Calculating two-variable statistics

r (correlation)
Press Row 4, Column 4 Row 6, Column 5. You should see r above the division key.
regression coefficients
slope
Press Row 4, Column 4 Row 5, Column 5. You should see b above the right parenthesis key.
y-intercept
Press Row 4, Column 4 Row 5, Column 4. You should see a above the left parenthesis key.


Calculating combinations and permutations

Make sure you are in normal mode before you do these. Press Row 1, Column 1    It's Yellow Row 3, Column 6 Row 8, Column 1.

combinations (nCr)
Enter the n value, press Row 1, Column 1    It's Yellow Row 6, Column 2 (you should see nCr above the 5 key), and the r value. Press Long key on the bottom right..
permutations (nPr)
Enter the n value, press Row 1, Column 1    It's Yellow Row 6, Column 3 (you should see nPr above the 6 key), and the r value. Press Long key on the bottom right..

 

Turning the calculator off
Press Row 1, Column 1    It's Yellow Row 1, Column 6      It's Red.

 

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
2: Enter the data  Row 1, Column 1    It's Yellow Row 3, Column 6 (MODE) Row 7, Column 3 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 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
2: Enter Data  Row 1, Column 1    It's Yellow Row 3, Column 6 (MODE) Row 7, Column 3 Row 7, Column 1 Row 7, Column 1 Row 4, Column 5 (,) 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 1, Column 1    It's Yellow Row 6, Column 2 (nCr) Row 6, Column 3 Long key on the bottom right.
2: Compute 9P5  Row 5, Column 3 Row 1, Column 1    It's Yellow Row 6, Column 3 (nPr) Row 6, Column 2 Long key on the bottom right.


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

For more information, consult a manual.

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