Texas Instruments TI-Nspire CX CAS TINSPIRE-CX-CAS Merkblatt
Produktcode
TINSPIRE-CX-CAS
350 Lists & Spreadsheet Application
This test is useful in determining if two normally distributed populations have
equal means, or when you need to determine if a sample mean differs from a
population mean significantly and the population standard deviation is
unknown.
equal means, or when you need to determine if a sample mean differs from a
population mean significantly and the population standard deviation is
unknown.
2-Sample z Test (zTest_2Samp)
Tests the equality of the means of two populations (m
1
and m
2
) based on
independent samples when both population standard deviations (s
1
and s
2
)
are known. The null hypothesis H
0
: m
1
=m
2
is tested against one of the
alternatives below.
•
H
a
: m
1
ƒm
2
•
H
a
: m
1
<m
2
•
H
a
: m
1
>m
2
2-Sample t Test (tTest_2Samp)
Tests the equality of the means of two populations (m
1
and m
2
) based on
independent samples when neither population standard deviation (s
1
or s
2
) is
known. The null hypothesis H
0
: m
1
=m
2
is tested against one of the alternatives
below.
•
H
a
: m
1
ƒm
2
•
H
a
: m
1
<m
2
•
H
a
: m
1
>m
2
1-Prop z Test (zTest_1Prop)
Computes a test for an unknown proportion of successes (prop). It takes as
input the count of successes in the sample
input the count of successes in the sample
x
and the count of observations in
the sample
n
.
1-Prop z Test
tests the null hypothesis H
0
: prop=p
0
against one of
the alternatives below.
•
H
a
: propƒp
0
•
H
a
: prop<p
0
•
H
a
: prop>p
0
This test is useful in determining if the probability of the success seen in a
sample is significantly different from the probability of the population or if it is
due to sampling error, deviation, or other factors.
sample is significantly different from the probability of the population or if it is
due to sampling error, deviation, or other factors.