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Author Question: Define the terms stratified sampling, systematic sampling and cluster sampling. Give examples for ... (Read 113 times)

kwoodring

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on: Jul 25, 2018
Define the terms stratified sampling, systematic sampling and cluster sampling. Give examples for each.
 
  What will be an ideal response?

Question 2

Quantitative variables classify individuals in a sample according to
 
  A) personality characteristic. B) numerical measure.
  C) physical attribute. D) exhibited trait.


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Brenm

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Reply #1 on: Jul 25, 2018
Answer to Question 1

Stratified sampling subdivides the population into at least two different subpopulations (strata) and then draws a simple random sample from each stratum.

Systematic sampling divides the population size by the sample size and rounds the result down to the nearest whole number, m. Then, using a random-number table to obtain a number k between 1 and m, selects for the sample those members numbered k, k + m, k + 2m, and so on.

In cluster sampling, the population is divided into sections, then sections are randomly selected, and then all members of the randomly selected sections are surveyed. Examples will vary.

Answer to Question 2

B


kwoodring

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Reply 2 on: Jul 25, 2018
:D TYSM

kilada

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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