Turn your calculator on
Press .
Clearing the memory
Press . You should see CLS on the slanted part of the second key.
Entering data
one variable
Enter the first value, then press . Enter the second value, press and so on. The screen will display the number of values you have typed in.
two variables
Enter the first x-value, press , then enter the first y-value, Press key. Do the same for each ordered pair. The screen will display the number of ordered pairs you have typed in.
Calculating one-variable statistics
mean
Press . You should see x,y on the slanted part of the key.
standard deviation for populations (s or sn)
Press . You should see sx,sy on the slanted part of the key.
standard deviation for samples (s or sn-1)
Press . You should see sx,sy on the slanted part of the key
Calculating two-variable statistics
r (correlation)
Press . You should see x-hat,r on the slanted part of the key, . You should see SWAP on the slanted part of the key.
regression coefficients
slope
Press . You should see y-hat,m on the slanted part of the key. Now press . You should see SWAP on the slanted part of the key.
y-intercept
Press zero key, . You should see y-hat,m on the slanted part of the key.
Computing the combinations and permutations
combinations
This calculator does not do combinations.
permutations
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 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 | (CLS) |
2: Enter Data | |
3: Compute the mean | (x,y) |
4: Compute the standard deviation (population) | (sx,sy) |
5: Compute the standard deviation (sample) | (sx,sy) |
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 | (CLS) |
2: Enter Data | |
3: Compute the slope of the regression line | (y-hat,m) (SWAP) |
4: Compute the y-intercept of the regression line | (y-hat,m) |
5: Compute the correlation | (x-hat,r) (SWAP) |
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.
For more information, consult the manual.
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