The position of the graphically represented keys can be found by moving your mouse on top of the graphic. The round buttons on the top do not constitute a row. Row 1 begins with the x-1 key.

 Turn your calculator on Press . Clearing the memory For one variable problems, press to get into SD (standard deviation) mode. Then press (the scl above the key means statistical clear) . For two variable problems press (REG, for regression) (for linear regression), then .

 Entering data one variable Clear the memory as shown above. Enter each element of your list followed by the key. (The DT below the key stands for DaTa.) two variables Clear the memory as shown above. Enter the first x-value in your list, followed by , followed by the first y-value in your list. Then press . (The DT below the key stands for DaTa.) Enter the remaining pairs in the same manner: x-value, comma, y-value, .

 Calculating one-variable statistics mean (x) Press (x) standard deviation for populations (s or sn) Press (xsn) standard deviation for samples (s or sn-1) Press (xsn-1) .

 Calculating two-variable statistics r (correlation) Press (r) . regression coefficients slope Press (B) . y-intercept Press (A) .

 Calculating combinations and permutations combinations (nCr) Enter the n-value. Press . Enter the r-value, followed by . permutations (nPr) Enter the n-value. Press (nPr will appear above the key). Enter the r-value, followed by .

 Turning the calculator off Press .

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 (SD) (scl) 2: Enter Data 3: Compute the mean (x) 4: Compute the population standard deviation (xsn) 5: Compute the sample standard deviation (xsn-1)

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 (REG) (linear) 2: Enter Data 3: Compute the slope of the regression line ( B) 4: Compute the y-intercept of the regression line ( A) 5: Compute the correlation ( 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 2: Compute 9P5 (nPr)

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

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