582
Using Lists & Spreadsheet
t Interval (tInterval)
computes a confidence interval for an unknown
population mean,
m
, when the population standard deviation,
s
, is
unknown. The computed confidence interval depends on the user-
specified confidence level.
This test is useful in examining whether the confidence interval
associated with a confidence level contains the value assumed in the
hypothesis. Like the z Interval, this test helps you determine how far
from a population mean a sample mean can get before indicating a
significant deviation when the population mean is unknown.
2-Sample z Interval (zInterval_2Samp)
computes a confidence
interval for the difference between two population means (
m
1
Nm
2
) when
both population standard deviations (
s
1
and
s
2
) are known. The
computed confidence interval depends on the user-specified confidence
level.
This test is useful in determining if there is statistical significance
between the means of two samples from the same population. For
example, this test could determine whether there is significance between
the mean college entrance test score of female students and the mean of
college entrance test score of male students at the same school.
2-Sample t Interval (tInterval_2Samp)
computes a confidence
interval for the difference between two population means (
m
1
Nm
2
) when
both population standard deviations (
s
1
and
s
2
) are unknown. The
computed confidence interval depends on the user-specified confidence
level.
This test useful in determining if there is statistical significance between
the means of two samples from the same population. It is used instead of
the 2-sample z confidence interval in situations where the population is
too large to measure in order to determine the standard deviation.
1-Prop z Interval (zInterval_1Prop)
computes a confidence
interval for an unknown proportion of successes. It takes as input the
count of successes in the sample
x
and the count of observations in the
sample
n
. The computed confidence interval depends on the user-
specified confidence level.
This test is useful in determining the probability of a given number of
successes that can be expected for a given number of trials. For instance,
casino examiners would use this test to determine if observed payouts for
one slot machine demonstrate a consistent pay out rate.
Summary of Contents for TI-Nspire
Page 38: ...26 Setting up the TI Nspire Navigator Teacher Software ...
Page 46: ...34 Getting started with the TI Nspire Navigator Teacher Software ...
Page 84: ...72 Using the Content Workspace ...
Page 180: ...168 Capturing Screens ...
Page 256: ...244 Embedding documents in web pages ...
Page 336: ...324 Polling students ...
Page 374: ...362 Using the Review Workspace ...
Page 436: ...424 Calculator ...
Page 450: ...438 Using Variables ...
Page 602: ...590 Using Lists Spreadsheet ...
Page 676: ...664 Using Notes You can also change the sample size and restart the sampling ...
Page 684: ...672 Libraries ...
Page 714: ...702 Programming ...
Page 828: ...816 Data Collection and Analysis ...
Page 846: ...834 Regulatory Information ...
Page 848: ...836 ...