Texas Instruments NS/CLM/1L1/B Reference Guide - Page 99

zTest_2Prop, Catalog &gt, Output variable, Description, zTest_2Samp

Page 99 highlights

Output variable stat.Ç stat.n Description Estimated sample proportion. Size of the sample. 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 76.) Test H0: p1 = p2, against one of the following: Hypoth > 0 for Ha: p1 > p2 Hypoth = 0 for Ha: p1 ƒ p2 (default) Hypoth < 0 for Ha: p < p0 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. Least probability 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 76.) Test H0: m1 = m2, against one of the following: Hypoth < 0 for Ha: m1 < m2 Hypoth = 0 for Ha: m1 ƒ m2 (default) Hypoth > 0 for Ha: m1 > m2 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. Least probability 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 Catalog > Catalog > 93

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TI-Nspire™ Reference Guide
93
stat.
Ç
Estimated sample proportion.
stat.n
Size of the sample.
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 76.)
Test H0:
p1
=
p2
, against one of the following:
Hypoth
> 0
for Ha:
p1
>
p2
Hypoth
= 0
for Ha:
p1
ƒ
p2
(default)
Hypoth
< 0
for Ha:
p < p0
Output variable
Description
stat.z
Standard normal value computed for the difference of proportions.
stat.PVal
Least probability 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 76.)
Test H0:
m
1 =
m
2, against one of the following:
Hypoth
< 0
for Ha:
m
1 <
m
2
Hypoth
= 0
for Ha:
m
1
ƒ
m
2 (default)
Hypoth
> 0
for Ha:
m
1 >
m
2
Output variable
Description
stat.z
Standard normal value computed for the difference of means.
stat.PVal
Least probability 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.
Output variable
Description