Texas Instruments TINSPIRE Manual Book page 597

1-Prop z Test (zTest_1Prop)
proportion of successes (prop). It takes as input the count of successes in
x
the sample and the count of observations in the sample
tests the null hypothesis H
below.
• H : propƒp
a 0
• H : prop<p
a 0
• H : prop>p
a 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)
proportion of successes (p
input the count of successes in each sample (
observations in each sample (
hypothesis H : p
0
of the alternatives below.
ƒp
• H : p
a 1 2
• H : p <p
a 1 2
• H : p >p
a 1 2
This test is useful in determining if the probability of success seen in two
samples is equal.
2 2
GOF ( GOF)
c c
population that conforms to a specified distribution. For example, c
GOF can confirm that the sample data came from a normal distribution.
2
2-way Test (
c
the two-way table of counts in the specified
hypothesis H for a two-way table is: no association exists between row
0
variables and column variables. The alternative hypothesis is: the
variables are related.
2-Sample Test (
F
normal population standard deviations (s
means and standard deviations are all unknown.
uses the ratio of sample variances Sx1
: s
H =s against one of the alternatives below.
0 1 2
: prop=p
0
and p
1
n
1
(using the pooled sample proportion Ç) against one
=p
1 2
performs a test to confirm that sample data is from a
2
2way)
c
computes a chi-square test for association on
Test_2Samp)
F
computes a test for an unknown
against one of the alternatives
0
computes a test to compare the
) from two populations. It takes as
2
x
and
1
n
and ).
2-Prop z Test
2
Observed
computes an F-test to compare two
and s
1
2 2
/Sx2 , tests the null hypothesis
Using Lists & Spreadsheet
n
.
1-Prop z Test
x
) and the count of
2
tests the null
matrix. The null
). The population
2
F
2-Sample Test
2
, which
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