Texas Instruments TINSPIRE Reference Guide - Page 121

zTest_2Prop, Catalog &gt, Output variable, Description, Hypoth, stat.results, p < p0, List1, Freq1

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zTest_2Prop zTest_2Prop x1,n1,x2,n2[,Hypoth] Computes a two-proportion z test. A summary of results is stored in the stat.results variable. (See page 97.) x1 and x2 are non-negative integers. Test H0: p1 = p2, against one of the following: For Ha: p1 > p2, set Hypoth>0 For Ha: p1 ƒ p2 (default), set Hypoth=0 For Ha: p < p0, set Hypoth Output variable stat.z stat.PVal stat.Ç1 stat.Ç2 stat.Ç stat.n1, stat.n2 Description Standard normal value computed for the difference of proportions Smallest level of significance at which the null hypothesis can be rejected First sample proportion estimate Second sample proportion estimate Pooled sample proportion estimate Number of samples taken in trials 1 and 2 zTest_2Samp zTest_2Samp s1,s2 ,List1,List2[,Freq1[,Freq2[,Hypoth]]] (Data list input) zTest_2Samp s1,s2,v1,n1,v2,n2[,Hypoth] (Summary stats input) Computes a two-sample z test. A summary of results is stored in the stat.results variable. (See page 97.) Test H0: m1 = m2, against one of the following: For Ha: m1 < m2, set Hypoth m2, Hypoth>0 For information on the effect of empty elements in a list, see "Empty (void) elements" on page 131. Catalog > Output variable stat.z stat.PVal stat.x1, stat.x2 stat.sx1, stat.sx2 stat.n1, stat.n2 Description Standard normal value computed for the difference of means Smallest level of significance at which the null hypothesis can be rejected Sample means of the data sequences in List1 and List2 Sample standard deviations of the data sequences in List1 and List2 Size of the samples TI-Nspire™ Reference Guide 115

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TI-Nspire™ Reference Guide
115
zTest_2Prop
Catalog >
zTest_2Prop
x1
,
n1
,
x2
,
n2
[
,
Hypoth
]
Computes a two-proportion
z
test. A summary of results is stored in
the
stat.results
variable. (See page 97.)
x1
and
x2
are non-negative integers.
Test H
0
:
p1
=
p2
, against one of the following:
For H
a
:
p1
>
p2
, set
Hypoth
>0
For H
a
:
p1
ƒ
p2
(default), set
Hypoth
=0
For H
a
:
p < p0
, set
Hypoth
<0
For information on the effect of empty elements in a list, see “Empty
(void) elements” on page 131.
Output variable
Description
stat.z
Standard normal value computed for the difference of proportions
stat.PVal
Smallest level of significance at which the null hypothesis can be rejected
stat.
Ç
1
First sample proportion estimate
stat.
Ç
2
Second sample proportion estimate
stat.
Ç
Pooled sample proportion estimate
stat.n1, stat.n2
Number of samples taken in trials 1 and 2
zTest_2Samp
Catalog >
zTest_2Samp
s
1
,
s
2
,
List1
,
List2
[
,
Freq1
[
,
Freq2
[
,
Hypoth
]]]
(Data list input)
zTest_2Samp
s
1
,
s
2
,
v
1
,
n1
,
v
2
,
n2
[
,
Hypoth
]
(Summary stats input)
Computes a two-sample
z
test. A summary of results is stored in the
stat.results
variable. (See page 97.)
Test H
0
:
m
1 =
m
2, against one of the following:
For H
a
:
m
1 <
m
2, set
Hypoth
<0
For H
a
:
m
1
ƒ
m
2 (default), set
Hypoth
=0
For H
a
:
m
1 >
m
2,
Hypoth
>0
For information on the effect of empty elements in a list, see “Empty
(void) elements” on page 131.
Output variable
Description
stat.z
Standard normal value computed for the difference of means
stat.PVal
Smallest level of significance at which the null hypothesis can be rejected
stat.
x
1
,
stat.
x
2
Sample means of the data sequences in
List1
and
List2
stat.sx1, stat.sx2
Sample standard deviations of the data sequences in
List1
and
List2
stat.n1, stat.n2
Size of the samples