Texas Instruments TINSPIRE

Using Lists & Spreadsheet 585
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
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.
2-Prop z Test (zTest_2Prop) computes a test to compare the
proportion of successes (p
1
and p
2
) from two populations. It takes as
input the count of successes in each sample (
x
1
and x
2
) and the count of
observations in each sample (n
1
and n
2
). 2-Prop z Test tests the null
hypothesis H
0
:p
1
=p
2
(using the pooled sample proportion Ç) against one
of the alternatives below.
•H
a
: p
1
ƒp
2
•H
a
: p
1
<p
2
•H
a
: p
1
>p
2
This test is useful in determining if the probability of success seen in two
samples is equal.
c
2
GOF (c
2
GOF) performs a test to confirm that sample data is from a
population that conforms to a specified distribution. For example, c
2
GOF can confirm that the sample data came from a normal distribution.
c
2
2-way Test (c
2
2way) computes a chi-square test for association on
the two-way table of counts in the specified
Observed matrix. The null
hypothesis H
0
for a two-way table is: no association exists between row
variables and column variables. The alternative hypothesis is: the
variables are related.
2-Sample FTest (FTest_2Samp) computes an F-test to compare two
normal population standard deviations (s
1
and s
2
). The population
means and standard deviations are all unknown.
2-Sample FTest, which
uses the ratio of sample variances Sx1
2
/Sx2
2
, tests the null hypothesis
H
0
: s
1
=s
2
against one of the alternatives below.