The position of the graphically represented keys can be found by moving your mouse on top of the graphic. The functions keys are not considered to be a row. Row 1 starts with the yellow shift key.
Turn your calculator on | |||||||||
Press
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Clearing the memory | |||||||||
Press
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Entering data | |||
one variable | |||
Type in the first entry in your list and
press
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two variables | |||
Type in the first x-value
in your list and press
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Calculating one-variable statistics | ||||
mean (x) | ||||
From the data entry screen, press
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standard deviation for populations (sn or xsn) | ||||
From the data entry
screen, press
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standard deviation for samples (sn-1 or xsn-1) | ||||
From the data entry
screen, press
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Calculating two-variable statistics |
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r (correlation) | |||||
From the data entry screen, press
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regression coefficients | |||||
slope | |||||
From the data entry
screen, press
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y-intercept | |||||
From the data entry
screen, press
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Calculating combinations and permutations | ||||
combinations (nCr) | ||||
Enter n. Press
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permutations (nPr) | ||||
Enter n. Press
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Turning the calculator off | ||
Press
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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 | ![]() ![]() ![]() |
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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