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 . Clearing the memory Press , then press . (It says Scl above the key), finally, press .

 Entering data one variable Type in first value, press , type in second value, press , etc. two variables Clear memory. Type in x-value, press  , type in y-value. Press , continue in this vein.

 Calculating one-variable statistics You must press to enter the "SD" mode. mean (x) Press (It says x above the key.) Press . standard deviation for populations (s or sn) Press (It says sn above the key.) Press . standard deviation for samples (s or sn-1) Press (It says sn-1 above the key.) Press .

 Calculating two-variable statistics You must press to choose the linear regression mode. r (correlation) Press (It says r above the key (on the left)). Press . regression coefficients slope Press (It says B above the key (on the left)). Press . y-intercept Press (It says A above the key (on the left)). Press .

 Calculating combinations and permutations combinations (nCr) Enter the n value. Press (you should see nCr above the key) Enter the r value, then . permutations (nPr) Enter the n value. Press (you should see nPr above the key) Enter the r value, then .

 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 2: Enter the data: 3: Compute the mean 4: Compute the standard deviation (population): 5: Compute the standard deviation (sample):

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 2: Enter Data 3: Compute the slope of the regression line (a) 4: Compute the y-intercept of the regression line (b) 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

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

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