Texas Instruments TI-86 Manual Book page 13

Assembly Language Programming: Inferential Statistics and Distribution Functions
Input
Calculated
Results
Drawn
Results
Tsam2
This two-sample t-test, shown as
means of two populations (m
neither population standard deviation (s
: m
H =m is tested against one of the alternatives below.
0 1 2
¦ H : m ƒm
(m1:ƒm2)
a 1 2
¦ H : m
<m
(m1:<m2)
a 1 2
¦ H : m
>m
(m1:>m2)
a 1 2
In the example:
{12.207 16.869 25.05 22.429 8.456 10.589}
SAMP1=
{11.074 9.686 12.064 9.351 8.182 6.642}
SAMP2=
The pooled option is available for
variances can be unequal.
equal.
Data
$
$
in the editor, tests the equality of the
2-SampTTest
and m
) based on independent samples when
1 2
or s
) is known. The null hypothesis
1 2
and
Tsam2 TInt2
means that population variances are assumed to be
Yes
Stats
$
$
only. means that population
No
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