Chapter 7 Review Flashcards
What are the three conditions that must be satisfied for a sampling distribution?
-random
-independents (1/10)
-large count
How do you know if a sampling distribution us an unbiased estimator?
means are the same
what is a parameter
a statistic
what is the purpose satisfying the random condition
unbiased
what is the purpose of satisfying the 1/10 condition
to gain independent probability
(if rule is not satisfied, cannot be independent)
what is the formula for the 1/10 condition
n(10) < N
when is the only time that the 1/10 condition does not need to be satisfied?
they say it’s independent
what us the purpose of the large count condition?
to have a normal distribution
what is the formula to satisfy the large count condition for a sampling distribution for MEAN
n > (or equal to) 30
what is the formula to satisfy the large count condition for a sampling distribution for a PROPORTION
np > (or equal to) 10
nq > (or equal to) 10
when is the only time you don’t need to satisfy the large count condition for a sampling distribution?
if they stated that it was normal
what is the formula for the standard deviation of a sampling distribution
sq. rt of pq/n
(on sheet)
what us the formula for the standard deviation of a sampling distribution for a sample mean?
SD/sq. rt of n
population
everyone
sample
who you selected
