Q4 Examination

Question 1

occur when one or more parts of the population are favored over others

Answer 1

biased samples

Question 2

only includes people who are easy to reach

Answer 2

convenience sample

Question 3

consists of people that have chosen to include themselves

Answer 3

voluntary response sample

Question 4

each individual has an equal chance to be chosen

draw lots

example: put names in the hat and selecting any of them (select 6) and interview them

Answer 4

simple random sampling (srs)

Question 5

• can be divided into a “strata” that refers of group of several people within strata we select or take an SRS
• you can take 2 each in strata

divided into group

Answer 5

stratified random sample

Question 6

we use a combination of two or more srs

stages

example: we have 3 groups, stage 1 could be selected

Answer 6

multistage sampling

Question 7

used for population

Answer 7

parameter

Question 8

used for samples

Answer 8

statistics

Question 9

what are the 2 sampling method?

Answer 9

biased
unbiased

Question 10

what are the 2 sample from biased?

Answer 10

• convenience sample
• voluntary response sample

Question 11

what are the 3 sample from unbiased?

Answer 11

• simple random sampling
• stratified random sample
• multistage sampling

Question 12

is a specific numerical estimate of a parameter

Answer 12

point estimator

Question 13

an interval or range of values used to estimate the parameter

Answer 13

interval estimator

Question 14

the computed estimate of a given sample size is equal to the parameter

Answer 14

unbiased estimator

Question 15

as the sample size increases, the value of the estimate becomes nearer to the value of the parameter being estimated

Answer 15

consistent estimator

Question 16

among all possible statistics that can be used to estimate a parameter, the estimator must have the smallest variance

Answer 16

relatively efficient

Question 17

is the average.

Answer 17

The Mean

Question 18

is how different each sample is.

Answer 18

The Variance

Question 19

Deviation is how close the samples are

Answer 19

The Standard

Question 20

• It tells us that as sample sizes gets larger, the sampling distribution of the mean will become normally distributed, even if the data within each sample are not normally distributed.
• If a random samples of size n are drawn from a population (finite or infinite), then as n becomes larger, the sampling distribution of the mean approaches the normal
  distribution, regardless of the form of the population distribution.

Answer 20

CENTRAL LIMIT THEOREOM

Question 21

A range of values that uses a point estimator but adds precision to estimate the parameter.

Answer 21

CONFIDENCE INTERVALS