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TI-92 Tutorial
Tutorial |
TI-92 Introduction Topics:
You can input and graph individual
data points with the TI-92 calculator. The following, is a procedure
for inputting data into a table, graphing the data, and finding
the linear regression best fit line that models the data.
1.) Press the MODE and check
to see that FUNCTION is listed next to Graph.
If Graph is set to another mode, change it to FUNCTION.
2.) Press the APPS key then 6: Data/Matrix Editor
3: New
3.) A window named New will open. We want to create a Data Type variable. The
other available types for the TI-92
are Matrix and List.
The data variable that we will create will be placed in the main folder. Use the cursor pad to move to the box next to Variable and type build then press ENTER twice. This procedure will store the program variable build in the main folder as
a Data type.
4.) A new table labeled build is
created. The columns are labeled c1, c2 etc. and the
rows are labeled 1,2, etc. To place a data point in the
table, type the number and then press ENTER. You can
use the cursor pad to move within the table. Enter the values
below.
Your data table should look like
the diagrams below.
If you enter the first value
in the c1 box by mistake, the column will lock and the screen
will look like the diagram below.
Note the lock next to the
r1c1. To delete this entry, go to the c1 box and press the delete
key.
5.) Move the cursor above the c1
and label it x.
Label c2 as y.
6.) The next step will be to plot
the data points on a graph. Press F2 (Plot Setup).
We must define a data plot function.
This defined plot will be placed next to the Plot 1:
on the Y= screen.
Press F1 Define.
Like a typical spread sheet, the
TI-92 calculator allows you the ability to format the plot type
and marker.
Make this graph a Scattered
graph for the Plot Type.... label it Box for the
Mark.......
Next to the x...... type
c1. Press the down cursor button and next to the y.....
type c2 then press ENTER twice.
Next to Plot 1 should now be an
indicator of a scattered plot of box type.
Press ENTER again to return to the
table.
7.) To plot the data points, press
the diamond button then R (GRAPH).
To zoom in on the data points press
F2 (Zoom) then 9: ZoomData.
8.) Switch to the Y= editor to view
the defined plot type.
If other function are plotted along
with the data plot, clear them from the Y= editor.
9.) To perform a regression fit on
these points, go back to the data screen.
press F5 Calc. The
new screen should be labeled main\build Calculate.
Change the option next to Calculation
Type to 5: LinReg.
In the box next to the x.......,
type c1 and in the box next to y...... type c2.
This tells the calculator which data points to use for the linear
regression calculation.
You must define this
function as y1(x) if you want to see the best fit line
on the graph along with the data points. Next to the Store
RegEQ to place a y1(x). Then press ENTER.
10.) The next screen is called STAT
VARS. You should see the equation for the best fit line, the
correlation value and the R2 value. These values are
shown below.
Press ENTER.
11.) Press the diamond button
and W (Y=) to view the equation for the best fit line
next to y1: .
If you scroll up, you will see the
data points indicator is next to Plot 1: .
12.) Press diamond button
and R (GRAPH) to view the graph.
Standard Deviation
Another type of calculation that
can be performed by the Data/Matrix editor is a standard
deviation. Clear the current data and input the data below.
Press F5 (Calc) and change
the TwoVar to OneVar and enter c1 for x.
Press ENTER twice. The following
statistical window will open.
Histogram
The TI-92 can create histograms.
Enter the grades listed below.
Press F2 (Plot Setup)
If Plot 1: is defined, press F3 to clear. Press F1(Define)
and change the plot type from Scattered to 4: Histogram.
Enter a c1 next to the x and change the Bucket Width to
5 then press ENTER twice.
Before graphing the histogram, press
the diamond key then E (Window).
Set the x and y scales to the screen
above then press the diamond key and R (Graph).
Press F3 to trace the histogram.
The n shows the number of
students with a grade inside the bucket width.
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