104 TI-Nspire™ Reference Guide
stat.n Length of the data sequence with sample mean
tInterval_2Samp
Catalog
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tInterval_2Samp
List1,List2[,Freq1[,Freq2[,CLevel[,Pooled]]]]
(Data list input)
tInterval_2Samp v1,sx1,n1,v2,sx2,n2[,CLevel[,Pooled]]
(Summary stats input)
Computes a two-sample t confidence interval. A summary of results is
stored in the stat.results variable. (See page 97.)
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.CLower, stat.CUpper Confidence interval containing confidence level probability of distribution
stat.x1-x2
Sample means of the data sequences from the normal random distribution
stat.ME Margin of error
stat.df Degrees of freedom
stat.x1, stat.x2
Sample means of the data sequences from the normal random distribution
stat.sx1, stat.sx2
Sample standard deviations for List 1 and List 2
stat.n1, stat.n2 Number of samples in data sequences
stat.sp The pooled standard deviation. Calculated when Pooled =YES
tPdf()
Catalog
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tPdf(XVal,df) ⇒ number if XVal is a number, list if XVal is a
list
Computes the probability density function (pdf) for the Student-t
distribution at a specified x value with specified degrees of freedom
df.
trace()
Catalog
>
trace(squareMatrix) ⇒ value
Returns the trace (sum of all the elements on the main diagonal) of
squareMatrix.
Output variable Description