6
answers
0
watching
487
views

Explain the difference between a stratified sample and a cluster sample. (Select all that apply.)
 
1) In a stratified sample, the clusters to be included are selected at random and then all members of each selected cluster are included.
 
2) In a stratified sample, random samples from each strata are included.
 
3) In a cluster sample, the only samples possible are those including every kth item from the random starting position.
 
4) In a cluster sample, the clusters to be included are selected at random and then all members of each selected cluster are included.
 
5) In a cluster sample, random samples from each strata are included.
 
6) In a stratified sample, every sample of size n has an equal chance of being included.
 
7) In a stratified sample, the only samples possible are those including every kth item from the random starting position.
 
8) In a cluster sample, every sample of size n has an equal chance of being included.

For unlimited access to Homework Help, a Homework+ subscription is required.

Unlock all answers

Get 1 free homework help answer.
Already have an account? Log in
Already have an account? Log in
Already have an account? Log in
Already have an account? Log in
Avatar image
Read by 3 people
Already have an account? Log in
Deanna Hettinger
Deanna HettingerLv2
18 Feb 2020
Already have an account? Log in

Related textbook solutions

Related questions

Weekly leaderboard

Start filling in the gaps now
Log in