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Notes for 11232009
Review of CLT:
What we need:
n > 30 and the observations to come from the same distribution with the same mean and
variance.
If we have iid sampling with n > 30, mean equal to mu, and standard deviation equal to sigma,
then the sum of these observations are Normally distributed with mean equal to n*mu and
standard deviation equal to .
If we have iid sampling with n > 30, mean equal to mu, and standard deviation equal to sigma,
then the sample average of these observations (which is denoted by what?) are Normally
distributed with mean equal to mu and standard deviation equal to .
Difference of point estimator and point estimate:
Point estimator:
refers to the process or concept like are point estimators of
respectively.
However, the numerical values of
are what we call the
point estimate.
Remember, earlier we
called numerical descriptions of the population __________________ and numerical
descriptions of the sample _____________.
We use the _______________ as a point estimate of
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This note was uploaded on 02/26/2012 for the course STAT 225 taught by Professor Martin during the Fall '08 term at Purdue University.
 Fall '08
 MARTIN
 Probability, Standard Deviation, Variance

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