Ch 7.1

Question 1

Parameter

Answer 1

that describes some characteristic of the population

Question 2

Statistic

Answer 2

that describes some characteristic of a sample

Question 3

S & P

Answer 3

Statistic comes from Samples

Parameters come from Population

Question 4

mew vs x bar

Answer 4

mew- parameter, population mean (avg.)

x bar- statistic, sample mean (avg.)

Question 5

how to remember which is a parameter vs statistic?

Answer 5

greek letters are always the population (parameter) besides 1 exception

Question 6

p hat vs p?

Answer 6

p hat: statistic, sample proportion

p: parameter, population proportion

Question 7

Sampling distribution

Answer 7

(of a statistic) distribution of values (graph/list) taken by the statistic in ALL POSSIBLE SAMPLES of SAME size & SAME population

Question 8

Center unbiased vs biased estimator?

Answer 8

unbiased estimator: if mean (or center) of sampling distribution is equal to the value of the parameter (aka truth) being estimated
-not favoring either side

Question 9

Spread, what kind of spread do we want in a sampling distribution?

Answer 9

low variability is better!

Question 10

variability of a statistic

Answer 10

spread of its sampling distribution DETERMINED by the SIZE of the RANDOM SAMPLE (aka sample size)

Question 11

the spread of the sampling distribution does or does not depend on the size of the population

Answer 11

IT DOES NOT depend on the size of the population, it depends on the sample size

Question 12

whats an example that the sampling distribution does not depend on population size, but does depend on sample size?

Answer 12

blood tests & corn
300 lb man vs 120 lb girl, take the same amount of blood to sample.
corn mixed in the farm or in a bag, take the same amount of corn to scoop out for the sample

Question 13

larger sample size = _______

Answer 13

lower variability