The position of the graphically represented keys can be found by moving your mouse on top of the graphic. The funny shaped keys on top are not counted as a row. Row 1 starts with the HYP key.
Turn your calculator on | |||||||||
Press . | |||||||||
Clearing the memory | |||||||||
Press . |
Entering data | |||
one variable | |||
Press . (The 1 gets you into STAT mode; the 0 gets you one-variable statistics.) Enter each number in the list, followed by . Go directly to the calculations. | |||
two variables | |||
Press . (The 1 gets you into STAT mode; the 1 gets you LINE for linear regression.) Enter the x-variable, then (you should see (x,y) under the key), then the corresponding y-variable, and finally . Repeat for each ordered pair. Go directly to the calculations. |
Calculating one-variable statistics | ||||
mean (x) | ||||
Press . You should see x in green above the key. | ||||
standard deviation for populations (s or s_{n}) | ||||
Press . You should see sx in green above the key. | ||||
standard deviation for samples (s or s_{n-1}) | ||||
Press . You should see sx in green above the key. |
Calculating two-variable statistics |
|||||
r (correlation) | |||||
Press . You should see r in green above the key. | |||||
regression coefficients - the regression line is y=a + bx | |||||
slope | |||||
Press . You should see b in green above the key. | |||||
y-intercept | |||||
Press . You should see a in green above the key. |
Calculating combinations and permutations | ||||
combinations (nCr) | ||||
Enter the n value. Press . (You should see nCr above the key on the left. nCr will be orange.) Enter the r value and then . | ||||
permutations (nPr) | ||||
Enter the n value. Press . (You should see nPr above the key on the left. nPr will be orange.) Enter the r value and then . |
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 e^{x} as (e^{x}).
A: What is the mean and standard deviation of the following list of numbers?
15 16 20 21
1: Clear Memory | |
2: Enter Data | (STAT) (SD) |
3: Compute the mean | (x) |
4: Compute the population standard deviation | (sx) |
5: Compute the sample standard deviation | (sx) |
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 | (STAT) (LINE) |
3: Compute the slope of the regression line | (b) |
4: Compute the y-intercept of the regression line | (a) |
5: Compute the correlation | (r) |
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 _{10}C_{6} |
(nCr) |
2: Compute _{9}P_{5} | (nPr) |
You should get _{10}C_{6 }= 210 and _{9}P_{5}=
15120.
Go to: