Statistics Formulas - Texas Instruments TI-82 STATS Manual Book

Statistics Formulas

This section contains statistics formulas for the
2.SampÜ Ü Ü Ü Test
,
ANOVA
Logistic
SinReg
A–50 Tables and Reference Information
, and
2.SampTTest
The logistic regression algorithm applies nonlinear recursive
least-squares techniques to optimize the following cost function:
N

∑
c
J 

bx
1 ae
i 1
which is the sum of the squares of the residual errors,
where: x = the independent variable list
y = the dependent variable list
N = the dimension of the lists
This technique attempts to estimate the constants a, b, and c
recursively to make J as small as possible.
The sine regression algorithm applies nonlinear recursive least-
squares techniques to optimize the following cost function:
N
∑
J a sin ( bx
i
i 1
which is the sum of the squares of the residual errors,
where: x = the independent variable list
y = the dependent variable list
N = the dimension of the lists
This technique attempts to recursively estimate the constants a,
b, c, and d to make J as small as possible.
and
Logistic
.

2
y 
i

i
2
c ) d y
i
regressions,
SinReg