Sharp EL-9200C
The position of the graphically represented keys can be found by moving your mouse on top of the graphic. The function keys do not count as a row.
| Turn your calculator on | |||||||||
| Press |
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| Clearing the memory | |||||||||
| To get into stat mode, press |
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| Entering data
Please clear the calculator of all previous data before entering a new set. If you don't, the calculator will merely append your data to any data that is already there. |
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| one variable | |||
When you clear the memory, you will see a screen called
data format. Choose 1 (for
one variable). Press . Enter the second
number, followed by
. Continue until
all the data has been entered.
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| two variables | |||
When you clear the memory, you will see a screen called
data format. Choose 3 (for two variables). Press .
You are ready to enter data. The
screen shows a card (labeled 1/1). Enter the first x-value, then ,
followed by the corresponding y-value, then .
Enter the second x-value, then ,
followed by the second y-value, then .
Continue until all the data has been entered. |
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| Calculating one-variable statistics | ||||
| mean (x) | ||||
Press
.
STAT
should be highlighted. If it's not, arrow up to it. On the right, you'll see a
window with three choices. Press |
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| standard deviation for populations (s or sn) | ||||
Press
.
STAT
should be highlighted. If it's not, arrow up to it. On the right, you'll see a
window with three choices. Press
(x-vars). You'll see a screen with many
values including the population standard deviation (third value). |
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| standard deviation for samples (s or sn-1) | ||||
Press
.
STAT
should be highlighted. If it's not, arrow up to it. On the right, you'll see a
window with three choices. Press
(x-vars). You'll see a screen with many
values including the sample standard deviation (second value). |
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|
Calculating two-variable statistics |
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| r (correlation) | |||||
Press
.
STAT
should be highlighted. If it's not, arrow up to it. On the right, you'll see a
window with three choices. Press (reg).
You'll see a screen with three
values. The third is the correlation.
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| regression coefficients | |||||
| slope | |||||
Press
.
STAT
should be highlighted. If it's not, arrow up to it. On the right, you'll see a
window with three choices. Press (reg).
You'll see a screen with three
values. The first is a, the slope. |
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| y-intercept | |||||
Press
.
STAT
should be highlighted. If it's not, arrow up to it. On the right, you'll see a
window with three choices. Press (reg).
You'll see a screen with three
values. The second is b, the y-intercept. |
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| Calculating combinations and permutations | ||||
| combinations (nCr) | ||||
Press
(nCr). Now enter the r value and press . |
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| permutations (nPr) | ||||
Press
(nPr). Now enter the r value and press . |
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| Turning the calculator off | ||
The off button is the same as the on
button. Press
, and the calculator will turn
off.
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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 |
(D DEL)
(
if you get an error message) |
| 2: Enter Data |
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| 3: Compute the mean |
(If you are not in STAT mode, arrow up to it)
![]() |
| 4: Compute the standard deviation (population) |
(If you are not in STAT mode, arrow up to it)
![]() |
| 5: Compute the standard deviation (sample) |
(If you are not in STAT mode, arrow up to it)
![]() |
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 |
(D
DEL)
(
if you get an error message) |
| 2: Enter Data |
(X,Y VARS)
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| 3: Compute the slope of the regression line |
(or
) |
| 4: Compute the y-intercept of the regression line |
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| 5: Compute the correlation |
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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 |
(nCr)
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| 2: Compute 9P5 |
(nPr)
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You should get 10C6 = 210 and 9P5=
15120.
For more information, consult the manual.
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