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

Turn your calculator on
Press Top Row, Far Left.
Clearing the memory
First get into STAT mode by pulling the bar on the left side of the calculator up, if possible (to ensure you will get a new screen), and then down to the bottom (there are four notches; stat mode is the fourth).  The screen will give you a choice of store-1 OR non-store-2.  Press for non-store.  Now press Row 2, Column 1 row 2, column 6 (you should see CA, for Clear All, above the key) to clear the memory.

 

Entering data  

Enter STAT mode, specify non-store, and clear the memory before entering new data.

one variable
Enter the first number, then press Row 5, Column 3Do not press the key labeled DATA (row 5, column 4).  (That key is used for searching an already existing data set.)  A 1 will appear on the screen because, so far, you have entered one data point.  Enter the second number, then press Row 5, Column 3.  A 2 will appear on the screen because now you have entered two data points.  Continue until all the data has been entered.  
two variables
Enter the first x-value.  Press row 5, column 2 ((x,y) is above the key).  A comma will appear on the screen.   Enter the corresponding y-value, then Row 5, Column 3.  (There is a key labeled DATA (row 5, column 4).  Do not press this one. See warning above.)  There will be a 1 on the screen because, so far, you have entered one data point.  Enter the next pair the same way.  There will be a 2 on the screen because now you have entered two data points.   Continue until all the data has been entered. 

 

Calculating one-variable statistics
mean (x)
Press Row 2, Column 1 row 6, column 1 (has x on top of the key).
standard deviation for populations (s or sn)
Press Row 2, Column 1 row 6, column 3 (has sx on top of the key).
standard deviation for samples (s or sn-1)
Press Row 2, Column 1 row 6, column 2 (has sx on top of the key). 

Calculating two-variable statistics

r (correlation)
Press Row 2, Column 1 row 6, column 4 (has r on top of the key). 
regression coefficients
slope
Press Row 2, Column 1 row 8, column 4 (has b on top of the key).
y-intercept
Press Row 2, Column 1 row 7, column 4 (has a on top of the key).


Calculating combinations and permutations
combinations (nCr)
Enter the n value. .Press Row 2, Column 1 row 8, column 5 (nCr).  Enter the r value, then press row 9, column 5.
permutations (nPr)
Enter the n value. Press Row 2, Column 1 row 9, column 5 (nPr).  Enter the r value, then press row 9, column 5.

 

Turning the calculator off

Press the button. 

 

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  Enter STAT mode and specify (non-store) Row 2, Column 1 row 2, column 6 (CA)
2: Enter Data   row 6, column 2 Row 5, Column 3 row 6, column 3 Row 5, Column 3 Row 5, Column 3   Z
 
Row 5, Column 3
3: Compute the mean  Row 2, Column 1 row 6, column 1 (x)
4: Compute the population standard deviation  Row 2, Column 1 row 6, column 3 (sx )
5: Compute the sample standard deviation  Row 2, Column 1 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  Enter STAT mode and specify (non-store) Row 2, Column 1 row 2, column 6 (CA)
2: Enter Data   row 5, column 2 Row 5, Column 3  row 5, column 2 row 6, column 1 Row 5, Column 3 row 5, column 2
 row 6, column 2 Row 5, Column 3
row 6, column 1 row 5, column 2 Row 5, Column 3
3: Compute the slope of the regression line  Row 2, Column 1 row 8, column 4 (b)
4: Compute the y-intercept of the regression line  Row 2, Column 1 row 7, column 4 (a)
5: Compute the correlation  Row 2, Column 1 row 6, column 4 (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 2, Column 1 row 8, column 5 (nCr)  row 6, column 3 row 9, column 5
2: Compute 9P5   Row 2, Column 1 row 9, column 5 (nPr) row 9, column 5


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

For more information, consult a manual.

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