The position of the graphically represented keys can be found by moving your mouse on top of the graphic.
Turn your calculator on | |||||||||
Press ![]() |
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Clearing the memory | |||||||||
Press ![]() ![]() |
Entering data | |||
one variable | |||
To get into stat mode (SD1), press ![]() ![]() ![]() ![]() |
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two variables | |||
To get into stat mode (LR1), press ![]() ![]() ![]() ![]() ![]() |
Calculating one-variable statistics | ||||
mean (x) | ||||
While in SD1 mode, press ![]() ![]() |
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standard deviation for populations (s or sn) | ||||
While in SD1 mode, press ![]() ![]() |
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standard deviation for samples (s or sn-1) | ||||
While in SD1 mode, press ![]() ![]() |
Calculating two-variable statistics |
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r (correlation) | |||||
While in LR1 mode, press ![]() ![]() |
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regression coefficients | |||||
slope | |||||
While in LR1 mode, press ![]() ![]() |
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y-intercept | |||||
While in LR1 mode, press ![]() ![]() |
Calculating combinations and permutations | ||||
combinations (nCr) | ||||
This calculator does not do combinations. | ||||
permutations (nPr) | ||||
This calculator does not do permutations. |
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 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.
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