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This distribution is useful in determining the probability associated with the first
success occurring during trials 1 through n. For example, you could use this
calculation to determine the probability that heads display on toss #1, #2, #3,
..., #n.
Confidence Intervals
Supported Confidence Intervals
The following confidence intervals are available from the Lists&Spreadsheets
application. For more information regarding these functions, see the
TI-Nspire
Reference Guide
.
z Interval (zInterval)
Computes a confidence interval for an unknown population mean, m, when the
population standard deviation, s, is known. The computed confidence interval
depends on the user-specified confidence level.
This test is useful in determining how far from a population mean a sample
mean can get before indicating a significant deviation.
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.
Lists&Spreadsheet Application 345