Texas Instruments TI-Nspire CX CAS TINSPIRE-CX-CAS Merkblatt
Produktcode
TINSPIRE-CX-CAS
Stat Tests
Supported Statistical Tests
Hypothesis tests are available from the Lists & Spreadsheets application. For
more information regarding these functions, see the
more information regarding these functions, see the
TI-Nspire™ Reference
Guide.
Some of the wizards for Stat Tests display a
Draw
check box. By default, the
box is not selected. Selecting the box creates a Data & Statistics work area on
the page and plots the results in that work area.
the page and plots the results in that work area.
z test (zTest)
Performs a hypothesis test for a single unknown population mean, m, when the
population standard deviation, s, is known. It tests the null hypothesis H
population standard deviation, s, is known. It tests the null hypothesis H
0
: m=m
0
against one of the alternatives below.
•
H
a
: mƒm
0
•
H
a
: m<m
0
•
H
a
: m>m
0
This test is used for large populations that are normally distributed. The
standard deviation must be known.
standard deviation must be known.
This test is useful in determining if the difference between a sample mean and
a population mean is statistically significant when you know the true deviation
for a population.
a population mean is statistically significant when you know the true deviation
for a population.
t test (tTest)
Performs a hypothesis test for a single unknown population mean, m, when the
population standard deviation, s, is unknown. It tests the null hypothesis
H
population standard deviation, s, is unknown. It tests the null hypothesis
H
0
: m=m
0
against one of the alternatives below.
•
H
a
: mƒm
0
•
H
a
: m<m
0
•
H
a
: m>m
0
This test is similar to a z-test, but is used when the population is small and
normally distributed. This test is used more frequently than the z-test because
small sample populations are more frequently encountered in statistics than
are large populations.
normally distributed. This test is used more frequently than the z-test because
small sample populations are more frequently encountered in statistics than
are large populations.
Lists & Spreadsheet Application 349