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1. Every sample of size 6 has equal chance (randomly choose 6 students out of 30). Answer following questions: (a) How many possible samples? We have a total of 30 students and want a sample of 6, therefore we must calculate how many combinations of 6 we can make out of 30, 30𝐢6 = 593,775 possible samples. (b) p(s) = ? The probability of selecting a specific sample is 1/593,775 = 0.000001684 1 𝑝(𝑠) = {153,775 0 𝑖𝑓 𝑠 β„Žπ‘Žπ‘  6 π‘’π‘™π‘’π‘šπ‘’π‘›π‘‘π‘  π‘œπ‘‘β„Žπ‘’π‘Ÿπ‘€π‘–π‘ π‘’ (c) ns = ? The size of the sample is 𝑛𝑠 = 6 (d) Number of sample containing unit k? If we include unit k in the sample, we have 5 more spots to fill from the 29 students left. That is 29C5=118,755. (e) First order inclusion probabilities? The probability that unit k is included in the sample, 𝑃(π‘˜ ∈ 𝑠), denoted as πœ‹π‘˜ , is πœ‹π‘˜ = 6 π‘“π‘œπ‘Ÿ π‘˜ = 1,2, … 30 30 πœ‹π‘˜ = 1 π‘“π‘œπ‘Ÿ π‘˜ = 1,2, … 30 5 (f) Second order inclusion probabilities? The probability that units k and l are included in the sample, 𝑃(π‘˜, 𝑙 ∈ 𝑠), denoted as πœ‹π‘˜π‘™ , is πœ‹π‘˜π‘™ = 6(6 βˆ’ 1) π‘“π‘œπ‘Ÿ π‘˜ β‰  𝑙 = 1,2, … 30 30(30 βˆ’ 1) πœ‹π‘˜π‘™ = 30 π‘“π‘œπ‘Ÿ π‘˜ β‰  𝑙 = 1,2, … 30 870 πœ‹π‘˜π‘™ = 1 π‘“π‘œπ‘Ÿ π‘˜ β‰  𝑙 = 1,2, … 30 29 2. If the design 𝒑(. ) has a fixed sample size n, then π…π’Šπ’Œ β‰₯ π…π’Š + π…π’Œ βˆ’ 𝟏. We know that for simple size n from a population N, we ...
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