0.7 Notes for the ti-83, 83+, 84, 84+ calculators  (Page 2/3)

 Page 2 / 3

To deselect equations:

1. Access the list of equations.

2. Select each equal sign (=).

3. Continue, until all equations are deselected.

To clear equations:

1. Access the list of equations.

2. Use the arrow keys to navigate to the right of each equal sign (=) and clear them.

3. Repeat until all equations are deleted.

To draw default histogram:

2. Select <9:ZoomStat> .

3. The histogram will show with a window automatically set.

To draw custom histogram:

1. Access window mode to set the graph parameters.
• ${X}_{\mathrm{min}}=–2.5$
• ${X}_{\mathrm{max}}=3.5$
• ${X}_{scl}=1$ (width of bars)
• ${Y}_{\mathrm{min}}=0$
• ${Y}_{\mathrm{max}}=10$
• ${Y}_{scl}=1$ (spacing of tick marks on y -axis)
• ${X}_{res}=1$
2. Access graphing mode to see the histogram.

To draw box plots:

1. Access graphing mode.
, [STAT PLOT]

2. Select <1:Plot 1> to access the first graph.

3. Use the arrows to select <ON> and turn on Plot 1.

4. Use the arrows to select the box plot picture and enable it.

5. Use the arrows to navigate to <Xlist> .
6. If "L1" is not selected, select it.
, [L1] ,

7. Use the arrows to navigate to <Freq> .
8. Indicate that the frequencies are in [L2] .
, [L2] ,

9. Go back to access other graphs.
, [STAT PLOT]

10. Be sure to deselect or clear all equations before graphing using the method mentioned above.
11. View the box plot.
, [STAT PLOT]

Sample data

The following data is real. The percent of declared ethnic minority students at De Anza College for selected years from 1970–1995 was:

Year Student Ethnic Minority Percentage
1970 14.13
1973 12.27
1976 14.08
1979 18.16
1982 27.64
1983 28.72
1986 31.86
1989 33.14
1992 45.37
1995 53.1

Note

The TI-83 has a built-in linear regression feature, which allows the data to be edited.The x -values will be in [L1] ; the y -values in [L2] .

To enter data and do linear regression:

1. ON Turns calculator on.

2. Before accessing this program, be sure to turn off all plots.
• Access graphing mode.
, [STAT PLOT]

• Turn off all plots.
,

3. Round to three decimal places. To do so:
, [STAT PLOT]

• Navigate to <Float> and then to the right to <3> .

• All numbers will be rounded to three decimal places until changed.

4. Enter statistics mode and clear lists [L1] and [L2] , as describe previously.
,

5. Enter editing mode to insert values for x and y .
,

6. Enter each value. Press to continue.

To display the correlation coefficient:

1. Access the catalog.
, [CATALOG]

2. Arrow down and select <DiagnosticOn>
... , ,

3. $r$ and $r^{2}$ will be displayed during regression calculations.
4. Access linear regression.

5. Select the form of y = a + bx .
,

The display will show:

Linreg

• y = a + bx
• a = –3176.909
• b = 1.617
• r = 2 0.924
• r = 0.961

This means the Line of Best Fit (Least Squares Line) is:

• y = –3176.909 + 1.617 x
• Percent = –3176.909 + 1.617 (year #)
The correlation coefficient r = 0.961

To see the scatter plot:

1. Access graphing mode.
, [STAT PLOT]

2. Select <1:plot 1> To access plotting - first graph.

3. Navigate and select <ON> to turn on Plot 1.
<ON>

4. Navigate to the first picture.
5. Select the scatter plot.

6. Navigate to <Xlist> .
7. If [L1] is not selected, press , [L1] to select it.
8. Confirm that the data values are in [L1] .
<ON>

9. Navigate to <Ylist> .
10. Select that the frequencies are in [L2] .
, [L2] ,

11. Go back to access other graphs.
, [STAT PLOT]

12. Use the arrows to turn off the remaining plots.
13. Access window mode to set the graph parameters.
• ${X}_{\mathrm{min}}=1970$
• ${X}_{\mathrm{max}}=2000$
• ${X}_{scl}=10$ (spacing of tick marks on x -axis)
• ${Y}_{\mathrm{min}}=-0.05$
• ${Y}_{\mathrm{max}}=60$
• ${Y}_{scl}=10$ (spacing of tick marks on y -axis)
• ${X}_{res}=1$
14. Be sure to deselect or clear all equations before graphing, using the instructions above.
15. Press the graph button to see the scatter plot.

IMAGESNEWSVIDEOS A Dictionary of Computing. measures of location Quantities that represent the average or typical value of a random variable (compare measures of variation). They are either properties of a probability distribution or computed statistics of a sample. Three important measures are the mean, median, and mode.
define the measures of location
IMAGESNEWSVIDEOS A Dictionary of Computing. measures of location Quantities that represent the average or typical value of a random variable (compare measures of variation). They are either properties of a probability distribution or computed statistics of a sample. Three important measures are th
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BITRUS
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Mok
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Enhance
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Enhance
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Enhance
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Miguel
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Gidigah
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Usama
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Gidigah
How can you identify a possible outlier(s) in a data set.
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Dom
I am also new Dom, welcome!
Nthabi
thanks
Dom
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alayo
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jainesh
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Kachalla
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