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
*
n
.
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
n
.
Difference of point estimator and point estimate:
Point estimator:
refers to the process or concept like
ˆ
, p, or s
x
are point estimators of
, p, and
respectively. However, the numerical values of
ˆ
, p, or s
x
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 the ________________.
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 Spring '08
 MARTIN
 Normal Distribution, Standard Deviation, Variance, Probability theory

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