Question

how can we show selecting a 1-in-k systematic sample from a population of size N is...

how can we show selecting a 1-in-k systematic sample from a population of size N is the same as selecting a unique cluster in the population of clusters. DON'T PROOF EXPLAIN IN WORDS USING GENERAL NOTATIONS(N,k,n)

Homework Answers

Answer #1

Basically in 1 in k systematic sampling the units of population are ordered in some way and 1 of the first k units is selected from thepopulation of size N and then we go on sampling those observations which are at kth unit/position from the previous sample till we have n samples with us therfore we denote this by (N,k,n).

In case of cluster sampling we first divide the N observations of population in k clusters such that each cluster have n observations in it that is N=k*n and then we select a cluster at random and all the n observations from that cluster are chosen.

So in both these cases only 1 sample is chosen randomly and at the end we have our desired n samples hence both the methods are the same.

Thank you !!

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The members of a population have been numbered 1-50. A sample of size 20 is to...
The members of a population have been numbered 1-50. A sample of size 20 is to be taken from the​ population, using cluster sampling. The clusters are of equal size​ 10, where cluster​ #1 consists of the members of the population numbered 1dash​10, cluster​ #2 consists of the members of the population numbered 11-20, and so forth. a. What are the clusters taken from the​ population? b. Suppose that clusters​ #1 and​ #3 are selected from the clusters determined in...
____   Simple Random Sample ____   Cluster sample ____   Systematic sample ____   Stratified sample 1.   While this...
____   Simple Random Sample ____   Cluster sample ____   Systematic sample ____   Stratified sample 1.   While this type of sampling is very eacy to carry out, and hence saves time and money, it can very easily yield samples which are non-representative of the population, unintentionally. Often, data comes "in cycles", where the beginning and the end of each cycle is "atypical". If the "kth" individual is picked at the beginning or at the end of a cycle more often than a...
Consider the task of selecting squads of size k from a roster of size n. Every...
Consider the task of selecting squads of size k from a roster of size n. Every squad MUST also have a captain. Let us look at two ways of going about this task. -Count the number of ways of first picking a squad of size k from the roster of size n and then picking a captain among the squad. -Count the number of ways of first picking the captain directly from the roster and then picking the remaining k...
Simple random sampling uses a sample of size n from a population of size N to...
Simple random sampling uses a sample of size n from a population of size N to obtain data that can be used to make inferences about the characteristics of a population. Suppose that, from a population of 55 bank accounts, we want to take a random sample of eight accounts in order to learn about the population. How many different random samples of eight accounts are possible?
Suppose that we take a random sample of size n from a population having a mean...
Suppose that we take a random sample of size n from a population having a mean μ and a standard deviation of σ. What is the probability or confidence we have that our sample will be within +/- 1 of the population mean μ? (a) μ = 10, σ = 2, n = 25
1. As sample size, n, increases... a) Do you expect the likelihood of selecting cases or...
1. As sample size, n, increases... a) Do you expect the likelihood of selecting cases or observations with extreme/outlying values to decrease, stay the same, or increase? Explain briefly. b) Do you expect the range of sample values to decrease, stay the same, or increase? Explain briefly. c) Do you expect the sampling error to decrease, stay the same, or increase? Explain briefly.
simple random sampling uses a sample of size n from a population of size N to...
simple random sampling uses a sample of size n from a population of size N to obtain data that fan be used to make inferences about the characteristics of a population. suppose that, from a population of 80 bank accounts, we want to take a random sample of four accounts in order to learn about the population. How many different random samples of four accounts are possible?
A simple random sample of size n is drawn from a population that is normally distributed....
A simple random sample of size n is drawn from a population that is normally distributed. The sample​ mean, x overbar​, is found to be 108​, and the sample standard​ deviation, s, is found to be 10. 1. A) Construct a 96​% confidence interval about μ if the sample​ size, n, is 24. 1. B) Construct a 96​% confidence interval about μ if the sample​ size, n, is 20. How does increasing the sample size affect the margin of​ error,...
For a normal distributed population: N(μ, σ2 ), assume σ is a known constant, and we...
For a normal distributed population: N(μ, σ2 ), assume σ is a known constant, and we want to construct a 1-α level CI for μ. If we want the length of CI to be at most a, where a is a given positive constant, then what’s the requirement of selecting sample size? b)Same as question 1, but now is unknown. If we know that the sample variance s2 stables around some level and can be treated as a xed constant....
A simple random sample of size n is drawn from a population that is normally distributed....
A simple random sample of size n is drawn from a population that is normally distributed. The sample​ mean, x​, is found to be 115​, and the sample standard​ deviation, s, is found to be 10. ​(a) Construct a 95​% confidence interval about μ if the sample​ size, n, is 22. ​(b) Construct a 95​% confidence interval about μ if the sample​ size, n, is 12. ​(c) Construct a 90​% confidence interval about μ if the sample​ size, n, is...