EXST 2201: EXAM 2 QUESTIONS AND VERIFIED
ANSWERS LATEST UPDATE
sampling distribution
a probability density curve of all possible values of a statistic computed from a sample
size n
law of large numbers
as the sample size gets larger, the difference between the sample average and the
population mean gets smaller
sampling distribution of the sample average
if data is distributed normally with mean μ and standard deviation σ, then the average of
a sample size n will be distributed normally with mean μ and standard deviation σ/√n
standard error of the mean
the standard deviation of the sample average(σx = σ/√n)
central limit theorem
when there are at least 30 data points, the sample average will follow the normal shape,
have mean μ, and standard deviation σ/√n
t-transformation
converts a sample average into a t-statistic
point estimate of a population parameter
the value of a statistic used to estimate the population parameter
properties of a good estimator
ANSWERS LATEST UPDATE
sampling distribution
a probability density curve of all possible values of a statistic computed from a sample
size n
law of large numbers
as the sample size gets larger, the difference between the sample average and the
population mean gets smaller
sampling distribution of the sample average
if data is distributed normally with mean μ and standard deviation σ, then the average of
a sample size n will be distributed normally with mean μ and standard deviation σ/√n
standard error of the mean
the standard deviation of the sample average(σx = σ/√n)
central limit theorem
when there are at least 30 data points, the sample average will follow the normal shape,
have mean μ, and standard deviation σ/√n
t-transformation
converts a sample average into a t-statistic
point estimate of a population parameter
the value of a statistic used to estimate the population parameter
properties of a good estimator
