The position of the graphically represented keys can be found by moving your mouse on top of the graphic.
When counting rows, do not count the row of function keys on top.
Turning the calculator on
Press.
Clearing the memory
Enterand arrow to the STAT block (second from left on top row). Press
(short for execute). You'll see some options on the bottom of the screen. Press
to see more options. Press
(DEL·A, for delete all).
Entering data
Before typing in any data, get into
stat mode by pressing
and using the arrow keys to get to the STAT block (second from left on top row).
Press
(short for execute). You will see four empty lists. Use list one for the one
variable mode and lists one and two for the regression problems.
one variable
Enter the first element, press. Enter the second element, press
. Continue until all the data has been entered.
two variables
Enter the first x-value and press. Enter the second x-value and press
. Continue until all the x values have been entered. Press
. Enter the first y-value (make sure it lines up with the corresponding x value) and press
. Enter the second y-value and press
. Continue until all of the y values have been entered.
Calculating one-variable statistics
If you just finished entering the
data, then you're ready to begin. If not, get into stat mode by pressing
and using the arrow keys to get to the STAT block (second from left on top row).
Press
(short for execute).
mean
Press(CALC)
(1VAR). You will see a screen with several values. The mean is the first, labeled x.
standard deviation for populations (s or sn)
Press(CALC)
(1VAR). You will see a screen with several values. The population standard deviation is the fourth, labeled xsn.
standard deviation for samples (s or sn-1)
Press(CALC)
(1VAR). You will see a screen with several values. The sample standard deviation is the fifth, labeled xsn-1. You will need to press
to see it on the screen.
Calculating two-variable statistics
Make sure you are in the initial
stat mode when you do these. Get into stat mode by pressing
and using the arrow keys to get to the STAT block (second from left on top row).
Press
(short for execute).
r (correlation coefficient)
Press(CALC)
(REG)
(X, meaning linear regression). You will see a screen with several values. The correlation is the third, labeled r.
regression coefficients
slope
Press(CALC)
(REG)
(X, meaning linear regression). You will see a screen with several values. The slope is the first, labeled a.
y-intercept
Press(CALC)
(REG)
(X, meaning linear regression). You will see a screen with several values. The y-intercept is the second, labeled b.
Calculating combinations and permutations
You must be in the run mode for this
to work. If you're not, press ,
then arrow to the RUN rectangle (upper left). Press
(EXE is short for EXEcute).
combinations (nCr)
Enter the n value. Press![]()
. You will see choices on the bottom of the screen. Press
(PROBability)
(nCr). Finally, enter the r value and
.
permutations (nPr)
Enter the n value. Press![]()
. You will see choices on the bottom of the screen. Press
(PROBability)
(nPr). Finally, enter the r value and
.
Turning the calculator off
Press![]()
. (You should see OFF above the AC/ON key.)
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).
Each of these directions assumes you are already
in stat mode, except for C, which assumes you are in run mode.
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.
For more information, consult the manual.
Click here for the sample problem set.
Click here to go back to the home page.