Tcdf; Then; Tinterval; Tinterval_2Samp - Texas Instruments TI-NSPIRE Reference Manual

tCdf()

lowBound upBound
tCdf( , ,
upBound list
are numbers,
Computes the Student-t distribution probability between lowBound
and upBound for the specified degrees of freedom df.

For p(X upBound), set lowBound =

Then

TInterval

List Freq CLevel
TInterval [, [,
(Data list input)
v Sx n CLevel
[,
TInterval , ,
(Summary stats input)
Computes a t confidence interval. A summary of results is stored in
the stat.results variable. (See page 76.)
Output variable
stat.CLower, stat.CUpper
x
stat.
stat.ME
stat.df
s
stat. x
stat.n

TInterval_2Samp

TInterval_2Samp
List1 List2 Freq1 Freq2
, [, [, [,
(Data list input)
v
1 Sx1
TInterval_2Samp ,
(Summary stats input)
Computes a two-sample t confidence interval. A summary of results is
stored in the stat.results variable. (See page 76.)
Pooled= pools variances; Pooled=
1
Output variable
stat.CLower, stat.CUpper
x x
stat. 1- 2
stat.ME
TI-Nspire™ Reference Guide
⇒
df number lowBound
) if
lowBound upBound
if and
.
9 999.
E
]]
]
Description
Confidence interval for an unknown population mean.
Sample mean of the data sequence from the normal random distribution.
Margin of error.
Degrees of freedom.
Sample standard deviation.
Length of the data sequence with sample mean.
CLevel Pooled
[, ]]]]
v
n1 2 Sx2 n2 CLevel Pooled
, , , , [, [,
does not pool variances.
0
Description
Confidence interval containing confidence level probability of distribution.
Sample means of the data sequences from the normal random distribution.
Margin of error.
and
are lists
]]
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83