Application Guide

340 Lists&Spreadsheet Application
Sx1, Sx2
= Sample standard deviations having n
1
N1 and n
2
N1 degrees of
freedom df, respectively.
F
=
F-statistic =
df(x, n
1
N1,
n
2
N1)
=
Fpdf() with degrees of freedom df, n
1
N1, and n
2
N1
p
= reported p value
2-Sample FTest for the alternative hypothesis s
1
> s
2
.
2-Sample FTest for the alternative hypothesis s
1
< s
2
.
2-Sample FTest for the alternative hypothesis s
1
ƒs
2
. Limits must satisfy the following:
where: [Lbnd,Ubnd]=lower and upper limits
The F-statistic is used as the bound producing the smallest integral. The remaining
bound is selected to achieve the preceding integral’s equality relationship.
Linear Reg t Test (LinRegtTest)
Computes a linear regression on the given data and a t test on the value of slope b and
the correlation coefficient r for the equation y=a+bx. It tests the null hypothesis
H
0
:b=0 (equivalently, r=0) against one of the alternatives below.
• H
a
: bƒ0 and rƒ0
• H
a
: b<0 and r<0
• H
a
: b>0 and r>0
Multiple Reg Tests (MultRegTest)
Computes a linear regression on the given data, and provides the F test statistic for
linearity.
For more information, see the TI-Nspire™ Reference Guide.