This is the only calculator I've found that is specifically designed for statistics.

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

 Turn your calculator on Flick the S-61 switch on the top right of your calculator. Clearing the memory Press . If you're doing linear regression, flick the other switch to GP2 and press .

 Entering data one variable For each number in your list, enter the number and press . two variables Enter the first x-value and press . Enter the first y-value and press . Enter the other pairs in the same way.

 Calculating one-variable statistics mean (x) Press . You should see x above the key. standard deviation for populations (s or sn) Press . You should see s' above the key. standard deviation for samples (s or sn-1) Press . You should see s above the key.

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

 Calculating combinations and permutations combinations (nCr) Enter r and press . Enter n and press . Note the reversal of the usual order. permutations (nPr) Enter r and press . Enter n and press . Note the reversal of the usual order.

 Turning the calculator off Flick the S-61 switch off.

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 Data 3: Compute the mean ( x ) 4: Compute the population standard deviation (s') 5: Compute the sample standard deviation (s)

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 Flick switch to GP2 2: Enter Data 3: Compute the slope of the regression line 4: Compute the y-intercept of the regression line 5: Compute the correlation

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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