chapter 5 (inferential statistics)

Question 1

parameters

Answer 1

characteristic of a population

Question 2

representative

Answer 2

quality a sample is said to have is it reproduces the major characteristics of the population it was drawn from.

Question 3

EPSEM

Answer 3

the Equal Probability of SElection Method for selecting samples. every element/case in pop must have equal probability of selection for sample. most common technique is srs.

Question 4

simple random sample

Answer 4

method for choosing cases from a pop in which every case has an equal chance of being included.

Question 5

sampling distribution

Answer 5

distribution of a statistic for all possible sample outcomes of a certain size. under conditions specified in two theorems, the sampling distribution is normal in shape, with mean equal to the population value and standard deviation equal to the population standard deviation divided by the square root of n.

Question 6

standard error

Answer 6

standard deviation of a sampling distribution. (pop standard deviation divided by the square root of n.)

Question 7

central limit theorem

Answer 7

theorem that specifies the mean, standard deviation, and shape of the sampling distribution, given that the sample is large. removes constraint of normality in the population.