The position of the graphically represented keys can be found by moving your mouse on top of the graphic.
Turn your calculator on | |||||||||
Press . | |||||||||
Clearing the memory | |||||||||
Press . |
Entering data | |||
one variable | |||
Press to get into STAT mode. The screen will now show empty lists. Enter the first number in your list and press . Enter the second number and press . Do likewise for the rest of the list. | |||
two variables | |||
Press to get into STAT mode. The screen will now show empty lists. Enter the first x-value in your list and press . Enter the second x-value and press . Do likewise for the rest of the x-values. Press and enter the y-values in the same order, pressing after each one. |
Calculating one-variable statistics | ||||
mean (x) | ||||
Press (CALC) (1-VAR). You will see three rows. The first row: n x xmin xmax. Press and you will see the mean (x). | ||||
standard deviation for populations (s or s_{n}) | ||||
Press (CALC) (1-VAR). You will see three rows. The second row: sx sx Sx Sx^{2}. Press and you will see the population standard deviation (sx). | ||||
standard deviation for samples (s or s_{n-1}) | ||||
Press (CALC) (1-VAR). You will see three rows. The second row: sx sx Sx Sx^{2}. Press and you will see the sample standard deviation (sx). |
Calculating two-variable statistics |
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r (correlation) | |||||
Press (CALC) (X as in linear regression). You will see a row: a b r. Press and you will see the correlation. | |||||
regression coefficients | |||||
slope | |||||
Press (CALC) (X as in linear regression). You will see a row: a b r. The cursor should be on a (the slope). You should see the slope on the bottom of the screen. | |||||
y-intercept | |||||
Press (CALC) (X as in linear regression). You will see a row: a b r. Press and you will see the y-intercept. |
Calculating combinations and permutations | ||||
combinations (nCr) | ||||
Enter the n value. Press (nCr). Now enter the r value and press . | ||||
permutations (nPr) | ||||
Enter the n value. Press (nPr). Now enter the r value and press . |
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 | |
3: Compute the mean | (CALC) (1-VAR) (x) |
4: Compute the population standard deviation | (CALC) (1-VAR) (sx) |
5: Compute the sample standard deviation | (CALC) (1-VAR) (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 | |
3: Compute the slope of the regression line | (CALC) (X) (a) |
4: Compute the y-intercept of the regression line | (CALC) (X) (b) |
5: Compute the correlation | (CALC) (X) (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.
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