The CSUDH MAT131
TI-83/PlusTutorial
For items in white, press the button. For items in yellow use the 2ndkey. For items in green use thealpha key. Keep your cool. Don’t throw your calculator. Ask for help sooner than later.
Inserting Data
PressSTAT
SelectEDIT
Choosea
list from L1 to L6
Insertdata
and use the up and down arrow keys to navigate the data set
Plotting 1 variable data:
Histogram
PressSTAT
PLOT (use the “2nd” key)
Selectone
of the stat plots listed from 1 to 5. Navigate using up/down keys
SelectON
Godown one
level
Selectthe
histogram icon (the picture that looks like a histogram)
Selectthe
appropriate list
PressGRAPH
Adjustthe
window by pressing the WINDOW button and adjusting the variables
Adjustthe
window by selecting ZOOM and then selecting ZOOMPLOT
Making a box plot:
PressPress
STAT PLOT
Selectthe
appropriate stat plot selection from 1 to 5.
Turnon the
stat plot by selecting ON
Selectthe
box plot icon in row 2 position 2 by moving the cursor to the right
Selectthe
appropriate list of data
PressGRAPH
Adjustthe
window as described above
1-variable stats
Afterinserting
your data into a list, select STAT
Usethe
right arrow to move to the CALC menu
Select1-Var
Stats
Inputthe
appropriate list
PressENTER
Scrollup
and down to view all the statistics
Graphing the normal distribution
- Turn off all stat plots
and other functions.
- Go to Y=
- Press DISTR (press 2nd
,VARS)
- Select normalpdf(
- You should see
Y=normalpdf(
- Y=normalpdf(X, mean,
stdev), where you replace mean, stdev with their numerical values
- GRAPH
- Adjust the window in
accordance with the values of the mean and standard deviation
- Use ZOOMFIT under the ZOOM
menu once you have found a reasonalble window to see your graph
Computing probabilities
- Go the the standard screen
- Select DISTR
- Select Normalcdf( (#2 not
pdf)
- Normalcdf(lower #, upper
#, mean, stdev)
- Example: Normalcdf(600,700,504,111) computes the
percentage that the variable lies between 600 and 700, for a normal
distribution with mean = 504 and stdev = 111.
- This method is only for
variables with a normal distribution
- This method can be used
instead of the method, which uses table A and the z-score. You must still know how to take z-scores
and use table A, however.
TI-83 Turn on Diagnostic to enable some statistics features
Only have to do this once:
- Press
2nd Catolog,
- Move
cursor to Diagnostic On, Press Enter
- You’ll
be at the home screen. Press Enter
again.
Computing Correlation and linear regression using your TI-83
- Go to
STAT, then CALC
- Select
#4
- You
should see LinReg(ax+b)
- Type
in the lists. The horizontal axis
goes first
LinReg(ax+b)L1,L2
In this case L1 is the horizontal
axis. L2 is the vertical
- Press
ENTER
Graphing a Line
- Press
“y=“
- Type
in the equation
- Find
the appropriate window
- Press
“graph”
Finding the Linear Regression using your Calculator
- Go
to STAT and then CALC menu
- Select
LinReg(a+bx)
- Type
LinReg(a+bx) Lx,Ly (where Lx is the data set for the horizontal
axis, and Ly is the data set for the vertical axis)
*Only use LinReg(a+bx) (option #8)
**Do NOT use LinReg(ax+b) (option #4)
Plotting Residuals
- Put
the data into two lists and do the LinReg(a+bx) calculation.
- Go
to an empty list. Put the cursor at
the name of the empty list (e.g. L1 or L?) Press LIST. Under NAMES you will see RESID. Select RESID and press enter.
- You’ll
be returned to the list screen. At
the bottom you should see L?=LRESID.
Press enter. The residuals
should appear. Now plot the
residuals vs. the explanatory variable in a new scatterplot.
Statistical Tests
- To
access the library of statistical tests on your TI, Press STAT.
- Use the
right arrow key to select TESTS.
- Select
the appropriate statistical test using the up-down arrow keys.
- See
handouts from chapter 16 and chapter 17 on how to implement the 1-sample
T-test.
Ch 16 handout
in PDF format
Ch 17 handout
in PDF format