🏷️ LIMITED TIME OFFER: GET 20% OFF GRADE+ YEARLY SUBSCRIPTION →
Log in
Statistics
2
answers
1
watching
209
views

"Is it possible to draw a random sample from an infinite population by stratified sampling technique ?"
 

Watch
2
answers
1
watching
209
views

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
Share
Already have an account? Log in
Share

Related textbook solutions

Introductory Statistics
OER Edition, 2013
Openstax
ISBN: 9781938168208

Related questions

Explain the difference between a stratified sample and a cluster sample. (Select all that apply.)

(1) In a cluster sample, every sample of size n has an equal chance of being included.

(2) In a stratified sample, every sample of size n has an equal chance of being included.

(3) In a stratified sample, the clusters to be included are selected at random and then all members of each selected cluster are included.

(4) In a cluster sample, random samples from each strata are included.

(5) In a cluster sample, the clusters to be included are selected at random and then all members of each selected cluster are included.

(6) In a cluster sample, the only samples possible are those including every kth item from the random starting position.

(7) In a stratified sample, random samples from each strata are included.

(8) In a stratified sample, the only samples possible are those including every kth item from the random starting position.

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.

A probability distribution for all possible values of a sample statistic is known as
A.normal distribution
B. uniform distribution random c.sampling sampling distribution
D.sampling distribution

A function of a random variable which describes the probability that random variable is
Select one
A.Probability distribution function
B. Discrete random variable
C. Sampling distribution function
D. Continuous random variable

Consider the normal distribution the vanability is increased and the height of the curve is decreased for the
A. Larger value of standard deviation
B. Smaller value of mean
C. Smaller valie of stabdard deviation
D. Larger value of mean

The sampling destination of the sample mean is a distribution of
A. Sample statistic /estimator
B. individual population values
C. individual sample values
D. Population parameters


The sampling distribution of the mean is distribution of
A. Sample statistic
B. Population parameters
C. individual population values
D. individual sample values

Weekly leaderboard

Home
Homework Help 3,900,000
Statistics 10,000
Start filling in the gaps now
Log in