Turn your calculator on | |||||||||
Press . | |||||||||
Clearing the memory | |||||||||
Select the mode you want: for basic statistics and for linear regression. Then press (you should see CSR, for Clear Statistical Registers, above the key). |
Entering data | |||
one variable | |||
Clear the memory as described above. Enter each number in the list and press after it. | |||
two variables | |||
Press to get into linear regression mode. Enter the first x value and press . Enter the first y value and press . Finish by pressing . Enter the remaining pairs in this fashion: x-value, , y-value, , . |
Calculating one-variable statistics | ||||
mean (x) | ||||
Press . | ||||
standard deviation for populations (s or sn) | ||||
Press . | ||||
standard deviation for samples (s or sn-1) | ||||
Press . |
Calculating two-variable statistics |
|||||
r (correlation) | |||||
Press . | |||||
regression coefficients | |||||
slope | |||||
Press . | |||||
y-intercept | |||||
Press . |
Calculating combinations and
permutations
Before you do combinations and permutations, press AC MODE DEC to get back to normal calculations mode. |
||||
combinations (nCr) | ||||
Enter n, then press . Enter r and press . Then press . | ||||
permutations (nPr) | ||||
Enter n, then press . Enter r and press . Then press . |
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 | (STAT 1) (CSR) |
2: Enter Data | |
3: Compute the mean | |
4: Compute the population standard deviation | |
5: Compute the sample standard deviation |
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 | (STAT 2) (CSR) |
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.
1:Compute 10C6 |
|
2: Compute 9P5 |
You should get 10C6 = 210 and 9P5=
15120.
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