Consider two sampling designs, drawn from the same population of N = 1,800,000 %3D elements. Design 1: A simple random sample of n = 3,600 was taken Design 2: A random sample of a = 180 was selected from A = 90,000 clusters, each %3D containing B = 20 elements Design 1 had a sample mean of 513 with estimated standard error of 3.3, while Design 2 had a sample mean of 524 with estimated standard error of 10.1 Compare the two sampling designs by answering the following questions with TRUE or FALSE. Support your answer by providing justifications and/or numerical solutions (a) The intraclass correlation of the 90,000 clusters is greater than zero. (b) The means of the two sampling distributions (designs 1 & 2) for a mean of a given characteristic of interest coincide exactly. (c) The standard error of the second design will reduce to that of the first by a large increase in the number of sample clusters in the second design. nontr in the same cluster in terms of the variable of

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3.
Consider two sampling designs, drawn from the same population of N = 1,800,000
elements.
Design 1: A simple random sample of n = 3,600 was taken
Design 2: A random sample of a = 180 was selected from A = 90,000 clusters, each
%3D
%3D
containing B = 20 elements
%3D
Design 1 had a sample mean of 513 with estimated standard error of 3.3, while Design 2 had
a sample mean of 524 with estimated standard error of 10.1 Compare the two sampling
designs by answering the following questions with TRUE or FALSE. Support your answer by
providing justifications and/or numerical solutions
(a) The intraclass correlation of the 90,000 clusters is greater than zero.
(b) The means of the two sampling distributions (designs 1 & 2) for a mean of a given
characteristic of interest coincide exactly.
(c) The standard error of the second design will reduce to that of the first by a large increase
in the number of sample clusters in the second design.
(d) Elements tend to resemble other elements in the same cluster in terms of the variable of
interest.
(e) If the sample of the first design were cut to 1,200 elements, it would have about the same
standard error as the second design.
Transcribed Image Text:3. Consider two sampling designs, drawn from the same population of N = 1,800,000 elements. Design 1: A simple random sample of n = 3,600 was taken Design 2: A random sample of a = 180 was selected from A = 90,000 clusters, each %3D %3D containing B = 20 elements %3D Design 1 had a sample mean of 513 with estimated standard error of 3.3, while Design 2 had a sample mean of 524 with estimated standard error of 10.1 Compare the two sampling designs by answering the following questions with TRUE or FALSE. Support your answer by providing justifications and/or numerical solutions (a) The intraclass correlation of the 90,000 clusters is greater than zero. (b) The means of the two sampling distributions (designs 1 & 2) for a mean of a given characteristic of interest coincide exactly. (c) The standard error of the second design will reduce to that of the first by a large increase in the number of sample clusters in the second design. (d) Elements tend to resemble other elements in the same cluster in terms of the variable of interest. (e) If the sample of the first design were cut to 1,200 elements, it would have about the same standard error as the second design.
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