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Texas Instruments TI-83 Guide Book

Texas Instruments TI-83
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12-28 Statistics
8312STAT.DOC TI-83 international English Bob Fedorisko Revised: 02/19/01 12:42 PM Printed: 02/19/01 1:37
PM Page 28 of 38
Compute the regression model for the number of hours of
daylight in Alaska during one year.
&
&
With noisy data, you will achieve better convergence
results when you specify an accurate estimate for
period
.
You can obtain a
period
guess in either of two ways.
•
Plot the data and trace to determine the x-distance
between the beginning and end of one complete period,
or cycle. The illustration above and to the right
graphically depicts a complete period, or cycle.
•
Plot the data and trace to determine the x-distance
between the beginning and end of N complete periods,
or cycles. Then divide the total distance by N.
After your first attempt to use
SinReg and the default value
for
iterations
to fit the data, you may find the fit to be
approximately correct, but not optimal. For an optimal fit,
execute
SinReg 16,
Xlistname
,
Ylistname
,2
p
/
b
where
b
is
the value obtained from the previous
SinReg execution.
SinReg Example:
Daylight Hours in
Alaska for One
Year
1 period

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Texas Instruments TI-83 Specifications

General IconGeneral
ProgrammingTI-BASIC
ProcessorZilog Z80, 6 MHz
Weight7.4 oz (210 g)
Display96x64 pixels, monochrome LCD
Power Source4 AAA batteries, 1 CR1616 or CR1620 for backup
Memory32 KB RAM
Connectivity2.5mm I/O port for linking with other TI calculators

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