Statistical Calculation Types - Texas Instruments TI-89 Manual Book

Statistical Calculation Types

Selecting the
Calculation Type
Note: For TwoVar and all
regression calculations, the
columns that you specify for
x and y (and optionally, Freq
or Category) must have the
same length.
As described in the previous section, the Calculate dialog box
lets you specify the statistical calculation you want to perform.
This section gives more information about the calculation
types.
dialog box ( ‡), highlight the current setting for
From the
Calculate
and press B.
the
Calculation Type
You can then select from a
menu of available types.
Calc Type Description
OneVar One-variable statistics — Calculates the statistical
variables described on page 263.
Two-variable statistics — Calculates the statistical
TwoVar
variables described on page 263.
Cubic regression — Fits the data to the third-order
CubicReg
polynomial
four data points.
¦
For four points, the equation is a polynomial fit.
¦
For five or more points, it is a polynomial regression.
Exponential regression — Fits the data to the model
ExpReg
equation
y=abõ
squares fit and transformed values
Linear regression — Fits the data to the model
LinReg
(where is the slope, and
a
least-squares fit and
Logarithmic regression — Fits the data to the model
LnReg
equation
y=a+b ln(x)
transformed values
Logistic Logistic regression — Fits the data to the model
y=a/(1+b *
statistics variables.
If an item is dimmed, it is not valid
for the current Calculation Type.
. You must have at least
y=axò +bxñ +cx+d
(where is the y-intercept) using a least-
a
is the y-intercept) using a
b
and .
x y
using a least-squares fit and
and .
ln(x) y
^(c * x))+d and updates all the system
e
Chapter 16: Statistics and Data Plots
and .
x ln(y)
y=ax+b
261