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 | |||||||||
This is not that much an issue as the TI-92 has tons of memory. Simply give your new list a different name. However, you cannot use a name if it's already in use, so you might want to delete a list if you're done with it. Press (it says VAR-LINK above the key). Press until the cursor is on the list you want to delete. Press . Delete any other lists, if necessary. Then press to get back to the main screen. |
Entering data | |||
one variable | |||
Press . A menu will appear on the screen. Press (Data/Matrix Editor), then press (New). You'll see a window that says Type:. If it already says Type: Data, press to accept. If not, press to view the other options and pick Data then press to accept. The cursor should now be on Folder: Main. Press to accept. Pick an arbitrary name (say M) for the list. If it's in use, either choose another name or delete the list (see above for instructions). Press M on the keyboard portion. Then press (twice) to accept and verify the name. A table should appear with c1, c2, c3 over the columns. Use c1 for one variable data. Enter the first number. Press . Enter the second number. Press . Continue until all the data has been entered. | |||
two variables | |||
Press . A menu will appear on the screen. Press (Data/Matrix Editor), then press (New). You'll see a window that says Type:. If it already says Type: Data, press to accept. If not, press to view the other options and pick Data then press to accept. The cursor should now be on Folder: Main. Press to accept. Press D on the keyboard portion. (We're calling our dataset D; call it whatever you want using the keyboard keys; if you want to delete a list so you can reuse the name, use the Clear Memory instructions above). Then press (twice) to accept and verify the name. A table should appear with c1, c2, c3 over the columns. Use c1 for the x-variable. Enter the first x-value, then press . Enter the second x-value, then . Continue until all the x-values have been entered . Press to move the cursor to c2 for the y-variable. Press as many times as necessary to get the cursor next to the first x-value. Enter the first y-value, then . Enter the second y-value, then . Continue until all the y-values have been entered. Make sure the corresponding x-values and y-values line up. |
Calculating one-variable statistics | ||||
mean (x) | ||||
Press ( CALC). You'll see a row that says calculation type. Press . Press (for One Var). Press . You'll see x........and a box. Type on the keyboard. Press and you'll see a chart. The first item in the chart is x, the mean. | ||||
standard deviation for populations (s or sn) | ||||
Press ( CALC). You'll see a row that says calculation type. Press . Press (for One Var). You'll see a screen with x, Sx, Sx2, etc. Oddly enough, sx for the population is not on the list. However, it has been calculated. To locate it, return to the home screen by pressing . At the bottom of the screen, type in G S (on the keyboard) On the screen, you'll see s. Press . | ||||
standard deviation for samples (s or sn-1) | ||||
Press ( CALC). You'll see a row that says calculation type. Press . Press (for One Var). Press . You'll see x........and a box. Type . Press and you'll see a chart. Look for sx - that's the sample standard deviation. |
Calculating two-variable statistics |
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r (correlation) | |||||
Press (CALC). You'll see a row that says calculation type. Press (for Lin Reg). Press (on the keyboard), (on the keyboard), to tell the calculator which variables to do the regression on. Then press again to tell it to run the regression. You'll see a screen with a =, b =, corr =, R2 = . The corr is what we're looking for here. R2 is the square of the correlation. | |||||
regression coefficients | |||||
slope | |||||
Press (CALC). You'll see a row that says calculation type. Press (for Lin Reg). Press (on the keyboard), (on the keyboard), to tell the calculator which variables to do the regression on. Then press again to tell it to run the regression. You'll see a screen with a =, b =, corr =, R2 = . The b value is the slope of the regression line. | |||||
y-intercept | |||||
Press (CALC). You'll see a row that says calculation type. Press (for Lin Reg). Press (on the keyboard), (on the keyboard), to tell the calculator which variables to do the regression on. Then press again to tell it to run the regression. You'll see a screen with a =, b =, corr =, R2 = . The a value is the y-intercept. |
Calculating combinations and permutations | ||||
combinations (nCr) | ||||
Press (MATH is written above the key). You should see several options on the screen. Press (PROB). You will see more options. nCr is the third option, so press . Enter the n value, then press . Enter the r value, then press the key. Finally press . | ||||
permutations (nPr) | ||||
Press (MATH is written above the key). You should see several options on the screen. Press (PROB). You will see more options. nPr is the second option, so press . Enter the n value, then press . Enter the r value, then press the key. Finally 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
ex as
(ex).
A: What is the mean and standard deviation of the following list of numbers?
15 16 20 21
1: To start | (VAR-LINK) (as necessary) |
2: Enter Data | (press an arbitrary letter on the keyboard) |
3: Compute the mean | |
4: Compute the standard deviation (population) | Can't be done directly. |
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: To start | (VAR-LINK) (as necessary) |
2: Enter Data | (D, but this is arbitrary) |
3: Compute the slope of the regression line | (on the keyboard), (on the keyboard), |
4: Compute the y-intercept of the regression line | (on the keyboard), (on the keyboard), |
5: Compute the correlation | (on the keyboard), (on the keyboard), |
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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