Ttest; Ttest_2Samp - Texas Instruments TI-NSPIRE Reference Manual

tTest

m 0 List Freq Hypoth
tTest , [, [,
(Data list input)
m x
0 sx n Hypoth
tTest , , , ,[ ]
(Summary stats input)
Performs a hypothesis test for a single unknown population mean
when the population standard deviation
results is stored in the stat.results variable. (See page 76.)
m m
Test H0: = 0, against one of the following:
m m
Hypoth < 0 for Ha:
< 0
Hypoth = 0 for Ha: m ƒ m
0 (default)
Hypoth > 0 for Ha: m m
> 0
Output variable
stat.t
stat.PVal
stat.df
x
stat.
stat.sx
stat.n

tTest_2Samp

List1 List2
tTest_2Samp ,
(Data list input)
v
1 sx1 n1
tTest_2Samp , , ,
(Summary stats input)
Computes a two-sample t test. A summary of results is stored in the
stat.results variable. (See page 76.)
m m
Test H0: 1 = 2, against one of the following:
Hypoth < 0 for Ha: m m
1 <
Hypoth = 0 for Ha: m ƒ m
1
Hypoth > 0 for Ha: m m
1 >
Pooled=
pools variances
1
Pooled=
does not pool variances
0
Output variable
stat.t
stat.PVal
stat.df
x x
stat. 1, stat. 2
TI-Nspire™ Reference Guide
]]
s
is unknown. A summary of
Description
x N m
( 0) / (stdev / sqrt(n))
Least probability at which the null hypothesis can be rejected.
Degrees of freedom.
Sample mean of the data sequence in List.
Sample standard deviation of the data sequence.
Size of the sample.
Freq1 Freq2 Hypoth Pooled
[, [, [, [,
v
2 sx2 n2 Hypoth Pooled
, , [, [,
2
2 (default)
2
Description
Standard normal value computed for the difference of means.
Least probability at which the null hypothesis can be rejected.
Degrees of freedom for the t-statistic.
Sample means of the data sequences in List 1 and List 2.
m
]]]]
]]
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