106 TI-Nspire™ Reference Guide
Output variable Description
stat.t
(x N m
0
) / (stdev / sqrt(n))
stat.PVal Smallest level of significance at which the null hypothesis can be rejected
stat.df Degrees of freedom
stat.x
Sample mean of the data sequence in List
stat.sx Sample standard deviation of the data sequence
stat.n Size of the sample
tTest_2Samp
Catalog
>
tTest_2Samp List1,List2[,Freq1[,Freq2[,Hypoth[,Pooled]]]]
(Data list input)
tTest_2Samp v1,sx1,n1,v2,sx2,n2[,Hypoth[,Pooled]]
(Summary stats input)
Computes a two-sample t 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
: m1ƒ m2 (default), set Hypoth=0
For H
a
: m1> m2, set Hypoth>0
Pooled=1 pools variances
Pooled=0 does not pool variances
For information on the effect of empty elements in a list, see “Empty
(void) elements” on page 131.
Output variable Description
stat.t Standard normal value computed for the difference of means
stat.PVal Smallest level of significance at which the null hypothesis can be rejected
stat.df Degrees of freedom for the t-statistic
stat.x1, stat.x2
Sample means of the data sequences in List 1 and List 2
stat.sx1, stat.sx2 Sample standard deviations of the data sequences in List 1 and List 2
stat.n1, stat.n2 Size of the samples
stat.sp The pooled standard deviation. Calculated when Pooled=1.
tvmFV()
Catalog
>
tvmFV(N,I,PV,Pmt,[PpY],[CpY],[PmtAt]) ⇒ value
Financial function that calculates the future value of money.
Note: Arguments used in the TVM functions are described in the
table of TVM arguments, page 107. See also amortTbl(), page 6.
To Next Page
Loading...
Need help?
General
Weight and Dimensions
