8 terms

sampling distribution

a statistic from a random sample or randomized experiment is a random variable;

the probability distribution of the statistic is its ~

the probability distribution of the statistic is its ~

population distribution

distribution of its values for all members of the population;

is also the probability distribution of the variable when we choose one individual at random from the population

is also the probability distribution of the variable when we choose one individual at random from the population

Sample means are _____ variable than individual observations.

less

Sample means are ____ more Normal than individual observations.

more

List the facets of the binomial setting.

1. fixed number of observations n

2. observations n are independent

3. each observation falls into one of just two categories;

-> "success" and "failure"

4. the probability for each success, call it p, is the same

for each observation

2. observations n are independent

3. each observation falls into one of just two categories;

-> "success" and "failure"

4. the probability for each success, call it p, is the same

for each observation

binomial distribution

distribution of the count X of successes in the binomial setting; with parameters n and p;

B(n,p)

B(n,p)

What are the possible values of X in the binomial setting?

whole numbers from 0 to n

When are binomial distributions important in statistics?

when we wish to make inferences about the proportion p of "successes" in a population