curve equal to 4. The t-distribution has tails that are asymptotic to the 5. The mean, median and mode of t-distribution are equal to 6. The shape of the t-distribution curve depends on the number of axis.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Solve for number 4-10
Fill in the blank with the correct word or phrase to complete each sentence.
1. The Student's t-distribution is a probability distribution that is used to estimate
population parameters when the sample size is
the
2. The t-distribution was developed by
and/or
when
is unknown.
in 1908.
3.Like
the
normal distribution, the t-distribution is
-shaped,
symmetrical about
curve equal to
4. The t-distribution has tails that are asymptotic to the
5. The mean, median and mode of t-distribution are equal to
6. The shape of the t-distribution curve depends on the number of
7. The t-distribution has
normal curve.
As the degrees of freedom increases, the t-distribution tends
and has the total area under its
axis.
peak and
tails than the
8.
to the
9. The variance and the standard deviation of the t-distribution is always
than 1.
10. To compute for the variance, use the formula
Transcribed Image Text:Fill in the blank with the correct word or phrase to complete each sentence. 1. The Student's t-distribution is a probability distribution that is used to estimate population parameters when the sample size is the 2. The t-distribution was developed by and/or when is unknown. in 1908. 3.Like the normal distribution, the t-distribution is -shaped, symmetrical about curve equal to 4. The t-distribution has tails that are asymptotic to the 5. The mean, median and mode of t-distribution are equal to 6. The shape of the t-distribution curve depends on the number of 7. The t-distribution has normal curve. As the degrees of freedom increases, the t-distribution tends and has the total area under its axis. peak and tails than the 8. to the 9. The variance and the standard deviation of the t-distribution is always than 1. 10. To compute for the variance, use the formula
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