Does this problem make sense? (Probability and Survey Sampling)

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The discussion centers on a confusion regarding probability calculations in a survey sampling assignment. The user questions how to determine the probabilities for selecting elements on subsequent picks after the first selection, especially since the provided probabilities seem to sum to more than one. The user correctly identifies that the probabilities for the second pick cannot simply be the values listed in the table, as this leads to inconsistencies. They seek clarification on calculating the probability of selecting specific elements in sequence, particularly using conditional probabilities. The conversation emphasizes the importance of understanding sampling without replacement in probability theory.
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Hi,

I am trying to answer a question for an assignment, but am convinced that it doesn't make sense. Please see here: http://img813.imageshack.us/img813/1585/qst.png

My problem is with Plan 2 in the question. The probability of selecting any of the 5 elements on the first selection is 1/5. So for example, I can select element 1 with probability 1/5 on the first pick. But then, how can I work out the probabilities of choosing the 2nd, 3rd, 4th and 5th elements on the 2nd pick? Obviously these probabilities can't just be the numbers in the last column in the table, because if I add together the probabilties for choosing elements 2, 3, 4, and 5 (ignoring row 1 because we are sampling without replacement), I get (1/4 + 1/2 + 1/5 + 7/40) = 9/8, i.e. a total greater than one!

What is going on here? I want to work out the probability of picking, for example, element 1 on the first pick and element 2 on the second pick. Can anyone help?

Thanks.
 
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If I understand problem correctly then
P(S[2]=i)=P(S[2]=i|S[1]\neqi)*P(S[1]\neqi)

so for i=1 then

P(S[2]=1)=(1/8)*(4/5)


will be the same method for other elements
 
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