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 | |||||||||
To clear the entire memory, press 
 (the word MEM is above the
key) 
(for RESET) 
(for stored memory; it says MEM). A new screen will ask you Are you
sure? Press 
(for Yes). |
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| Entering data | |||
| one variable | |||
Press
to
enter statistics editing mode. Type in the first number. Press  .
Type in the second number. Press .
Continue until all the data has been entered. Then press  .
|
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| two variables | |||
Press
to
enter statistics editing mode. Type in the first x-value. Press .
Type in the second x-value, then .
Continue until all the x-values have been entered. Press
 .
Enter the first y-value. Press .
Continue until all the y-values have been entered (make sure they line up with
their corresponding x-values). When all the data has been entered,
press . |
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| Calculating one-variable statistics Press
and/or  until the screen is
empty.
|
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| mean (x) | ||||
Press
(CALC on screen)
(OneVa on screen)
(LIST)
(NAMES on screen)
(xStat on screen)  ,
and lastly .
On the screen you will see a list of statistics. x
is the first thing on the list.
|
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| standard deviation for populations (s or sn) | ||||
| Press
(CALC on screen)
(OneVa on screen)
(LIST)
(NAMES on screen)
(xStat on screen) ,
and lastly .
On the screen you will see a list of statistics.
You will have to arrow down to see sx.
It is the fifth thing on the
list. |
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| standard deviation for samples (s or sn-1) | ||||
| Press
(CALC on screen)
(OneVa on screen)
(LIST)
(NAMES on screen)
(xStat on screen) ,
and lastly .
On the screen you will see a list of statistics. Sx is the fourth thing
on the list. |
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|
Calculating two-variable statistics |
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| r (correlation) | |||||
Press
(that's STAT mode)
(CALC on screen)
(LinR on screen)
( LIST)
(NAMES on screen)
(xStat on screen) 
(yStat on screen) ,
and lastly .
r is listed as corr at the bottom of the screen.
|
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| regression coefficients | |||||
| slope | |||||
| Press
(that's STAT mode) (CALC on
screen)
(LinR on screen)
( LIST)
(NAMES on screen)
(xStat on screen)
(yStat on screen) ,
and lastly .
The slope is listed as b on the screen. |
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| y-intercept | |||||
| Press
(that's STAT mode) (CALC on
screen)
(LinR on screen)
( LIST)
(NAMES on screen)
(xStat on screen)
(yStat on screen) ,
and lastly .
The y-intercept is listed as a on the screen. |
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| Calculating combinations and
permutations Press
and/or until you get a clear screen (to get out of stat modes and such). |
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| combinations (nCr) | ||||
Press
(you should see MATH above the key). You will see options at the bottom
of the screen. You want the
second option :PROB. Press .
You will see more options: nCr is the third. Enter the n value.
Press .
Enter the r value. Press
. |
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| permutations (nPr) | ||||
| Press
(you should see MATH above the key). You will see options at the bottom
of the screen. You want the
second option: PROB. Press .
You will see more
options: nPr is the second. Enter the n value. Press .
Enter the r value. Press
. |
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| 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 |
(MEM)
(RESET)
(stored memory) (Yes) |
| 2: Enter Data |
 
|
| 3: Compute the mean |
(OneVa)
(LIST) (NAMES)
|
| 4: Compute the standard deviation (population) |
(OneVa)
(LIST) (NAMES)
|
| 5: Compute the standard deviation (sample) |
(OneVa)
(LIST)
(NAMES)
|
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 |
(MEM)
(RESET)
(stored memory) (YES)
|
| 2: Enter Data |
|
| 3: Compute the slope of the regression line |
(STAT)
(CALC)
(LinR)
(LIST)
(NAMES)
(xStat)
(yStat)
|
| 4: Compute the y-intercept of the regression line |
(STAT)
(CALC)
(LinR)
(LIST)
(NAMES)
(xStat)
(yStat)
|
| 5: Compute the correlation |
(STAT)
(CALC)
(LinR)
(LIST)
(NAMES)
(xStat)
(yStat)
|
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 |
(MATH)
(PROB)
(nCr) |
| 2: Compute 9P5 |
(MATH)
(PROB)
(nPr)
|
You should get 10C6 = 210 and 9P5=
15120.
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