Before any statistical calculations,
you must press
.
All of the commands below will assume that you have done so.
The position of the graphically represented keys can be found by moving your mouse on top of the graphic. The four bullet shaped keys are not counted as rows. Row one starts with the PROG key.
Turn your calculator on | |||||||||
Press
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Clearing the memory | |||||||||
Press
![]() ![]() ![]() ![]() ![]() |
Entering data | |||
one variable | |||
After
pressing ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
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two variables (regression) | |||
After
pressing ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Calculating one-variable statistics
To get the one-variable statistics,
press |
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mean | ||||
Press ![]() |
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standard deviation for populations (s or sn) | ||||
Press ![]() ![]() ![]() |
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standard deviation for samples (s or sn-1) | ||||
Press ![]() ![]() |
Calculating two-variable statistics To get the one-variable statistics,
press |
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r (correlation) | |||||
Press
![]() ![]() |
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regression coefficients | |||||
slope | |||||
Press ![]() |
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y-intercept | |||||
Press nothing (the cursor should be under a). |
Calculating combinations and permutations | ||||
combinations (nCr) | ||||
Enter the n
value. Press ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
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permutations (nPr) | ||||
Enter the n
value. 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 list the keys by the main symbol
on the key. In parentheses we include a helpful mnemonic, e.g.
(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 | ![]() ![]() ![]() |
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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