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.Ç1
First sample proportion estimate
stat.Ç2
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
,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 H
0
: m1 = m2, against one of the following:
For H
a
: m1 < m2, set Hypoth<0
For H
a
: m1 ƒ m2 (default), set Hypoth=0
For H
a
: m1 > m2, 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.x1, stat.x2
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
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