Probability for Sampling Schemes
I'm currently doing my homework for my stats class and I have a question for one of my exercises:
Consider a population P of size N. We define a new sampling scheme in the following way: we first select a sample SA using a simple random sampling without replacement of size n1. Then, we sample SB in P outside of SA according to a simple random sampling without replacement of size n2. We obtain in a such a way the final sample S as S = SA ∪ SB.
Obtain the probability P(S = s) for a realization s (probability mass function). Is it equivalent to a simple random sampling with sample size n = n1 + n2?
My questions is:
I don't really understand the question and don't know what to answer. What kind of PDF am I supposed to describe? What does he mean by P(S=s) for some realization s?
In my understanding the question is asking what the probability is that the sample will contain a certain random variable. Can someone maybe give me a more concrete example so I can work it out?
probability statistics
edited Nov 24 at 23:35
amWhy
191k28224439
asked Nov 24 at 22:52
Nicola Zaugg
41
add a comment |
I'm currently doing my homework for my stats class and I have a question for one of my exercises:
Consider a population P of size N. We define a new sampling scheme in the following way: we first select a sample SA using a simple random sampling without replacement of size n1. Then, we sample SB in P outside of SA according to a simple random sampling without replacement of size n2. We obtain in a such a way the final sample S as S = SA ∪ SB.
Obtain the probability P(S = s) for a realization s (probability mass function). Is it equivalent to a simple random sampling with sample size n = n1 + n2?
My questions is:
I don't really understand the question and don't know what to answer. What kind of PDF am I supposed to describe? What does he mean by P(S=s) for some realization s?
In my understanding the question is asking what the probability is that the sample will contain a certain random variable. Can someone maybe give me a more concrete example so I can work it out?
probability statistics
edited Nov 24 at 23:35
amWhy
191k28224439
asked Nov 24 at 22:52
Nicola Zaugg
41
add a comment |
I'm currently doing my homework for my stats class and I have a question for one of my exercises:
Consider a population P of size N. We define a new sampling scheme in the following way: we first select a sample SA using a simple random sampling without replacement of size n1. Then, we sample SB in P outside of SA according to a simple random sampling without replacement of size n2. We obtain in a such a way the final sample S as S = SA ∪ SB.
Obtain the probability P(S = s) for a realization s (probability mass function). Is it equivalent to a simple random sampling with sample size n = n1 + n2?
My questions is:
I don't really understand the question and don't know what to answer. What kind of PDF am I supposed to describe? What does he mean by P(S=s) for some realization s?
In my understanding the question is asking what the probability is that the sample will contain a certain random variable. Can someone maybe give me a more concrete example so I can work it out?
probability statistics
edited Nov 24 at 23:35
amWhy
191k28224439
asked Nov 24 at 22:52
Nicola Zaugg
41
I'm currently doing my homework for my stats class and I have a question for one of my exercises:
Consider a population P of size N. We define a new sampling scheme in the following way: we first select a sample SA using a simple random sampling without replacement of size n1. Then, we sample SB in P outside of SA according to a simple random sampling without replacement of size n2. We obtain in a such a way the final sample S as S = SA ∪ SB.
Obtain the probability P(S = s) for a realization s (probability mass function). Is it equivalent to a simple random sampling with sample size n = n1 + n2?
My questions is:
I don't really understand the question and don't know what to answer. What kind of PDF am I supposed to describe? What does he mean by P(S=s) for some realization s?
In my understanding the question is asking what the probability is that the sample will contain a certain random variable. Can someone maybe give me a more concrete example so I can work it out?
probability statistics
probability statistics
edited Nov 24 at 23:35
amWhy
191k28224439
asked Nov 24 at 22:52
Nicola Zaugg
41
edited Nov 24 at 23:35
amWhy
191k28224439
asked Nov 24 at 22:52
Nicola Zaugg
41
edited Nov 24 at 23:35
amWhy
191k28224439
edited Nov 24 at 23:35
amWhy
191k28224439
edited Nov 24 at 23:35
amWhy
191k28224439
191k28224439
asked Nov 24 at 22:52
Nicola Zaugg
41
asked Nov 24 at 22:52
Nicola Zaugg
41
asked Nov 24 at 22:52
Nicola Zaugg
41
41
add a comment |
add a comment |
1 Answer
1
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oldest
votes
Unless I am interpreting wrong, here is my translation of the problem
In a population of size $P$, take a simple random sample of size $n_1$ without replacement. Next, without putting anything from this first sample back, take a second simple random sample of size $n_2$. Let our sample $S$ be the union of these two smaller samples. Is this the same as taking one large simple random sample of size $n_1 + n_2$ from the original population of size $P$ ?
A realization is, put simply, an observed value
For $mathbb{P}(S=s)$, remember what $S$ (big s) represents. It is defined as the union of two disjoint samples, so it would be a set of objects. $s$ (little s) could be any particular set of objects from the population.
answered Nov 24 at 23:37
WaveX
2,4902721
thanks for your answer. I see how the sampling scheme works, but how do I put this formally into a probability mass function since i dont know what s is exactly. My attempt so far was to show that either way you can make the same amount of distinct samples, which implies that the probability is the same. But how can i exactly show that with a probability mass function?
– Nicola Zaugg
Nov 25 at 12:04
We have $n_1+n_2$ objects being chosen from $P$ total objects as our sample. So there are ${P}choose{n_1+n_2}$ different possible samples we could have. And if each sample is equally likely, the probability for any particular sample being selected would be $1 / {P}choose{n_1+n_2}$
– WaveX
Nov 25 at 16:47
add a comment |
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1 Answer
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Unless I am interpreting wrong, here is my translation of the problem
In a population of size $P$, take a simple random sample of size $n_1$ without replacement. Next, without putting anything from this first sample back, take a second simple random sample of size $n_2$. Let our sample $S$ be the union of these two smaller samples. Is this the same as taking one large simple random sample of size $n_1 + n_2$ from the original population of size $P$ ?
A realization is, put simply, an observed value
For $mathbb{P}(S=s)$, remember what $S$ (big s) represents. It is defined as the union of two disjoint samples, so it would be a set of objects. $s$ (little s) could be any particular set of objects from the population.
answered Nov 24 at 23:37
WaveX
2,4902721
thanks for your answer. I see how the sampling scheme works, but how do I put this formally into a probability mass function since i dont know what s is exactly. My attempt so far was to show that either way you can make the same amount of distinct samples, which implies that the probability is the same. But how can i exactly show that with a probability mass function?
– Nicola Zaugg
Nov 25 at 12:04
We have $n_1+n_2$ objects being chosen from $P$ total objects as our sample. So there are ${P}choose{n_1+n_2}$ different possible samples we could have. And if each sample is equally likely, the probability for any particular sample being selected would be $1 / {P}choose{n_1+n_2}$
– WaveX
Nov 25 at 16:47
add a comment |
Unless I am interpreting wrong, here is my translation of the problem
In a population of size $P$, take a simple random sample of size $n_1$ without replacement. Next, without putting anything from this first sample back, take a second simple random sample of size $n_2$. Let our sample $S$ be the union of these two smaller samples. Is this the same as taking one large simple random sample of size $n_1 + n_2$ from the original population of size $P$ ?
A realization is, put simply, an observed value
For $mathbb{P}(S=s)$, remember what $S$ (big s) represents. It is defined as the union of two disjoint samples, so it would be a set of objects. $s$ (little s) could be any particular set of objects from the population.
answered Nov 24 at 23:37
WaveX
2,4902721
thanks for your answer. I see how the sampling scheme works, but how do I put this formally into a probability mass function since i dont know what s is exactly. My attempt so far was to show that either way you can make the same amount of distinct samples, which implies that the probability is the same. But how can i exactly show that with a probability mass function?
– Nicola Zaugg
Nov 25 at 12:04
We have $n_1+n_2$ objects being chosen from $P$ total objects as our sample. So there are ${P}choose{n_1+n_2}$ different possible samples we could have. And if each sample is equally likely, the probability for any particular sample being selected would be $1 / {P}choose{n_1+n_2}$
– WaveX
Nov 25 at 16:47
add a comment |
Unless I am interpreting wrong, here is my translation of the problem
In a population of size $P$, take a simple random sample of size $n_1$ without replacement. Next, without putting anything from this first sample back, take a second simple random sample of size $n_2$. Let our sample $S$ be the union of these two smaller samples. Is this the same as taking one large simple random sample of size $n_1 + n_2$ from the original population of size $P$ ?
A realization is, put simply, an observed value
For $mathbb{P}(S=s)$, remember what $S$ (big s) represents. It is defined as the union of two disjoint samples, so it would be a set of objects. $s$ (little s) could be any particular set of objects from the population.
answered Nov 24 at 23:37
WaveX
2,4902721
Unless I am interpreting wrong, here is my translation of the problem
In a population of size $P$, take a simple random sample of size $n_1$ without replacement. Next, without putting anything from this first sample back, take a second simple random sample of size $n_2$. Let our sample $S$ be the union of these two smaller samples. Is this the same as taking one large simple random sample of size $n_1 + n_2$ from the original population of size $P$ ?
A realization is, put simply, an observed value
For $mathbb{P}(S=s)$, remember what $S$ (big s) represents. It is defined as the union of two disjoint samples, so it would be a set of objects. $s$ (little s) could be any particular set of objects from the population.
answered Nov 24 at 23:37
WaveX
2,4902721
answered Nov 24 at 23:37
WaveX
2,4902721
answered Nov 24 at 23:37
WaveX
2,4902721
answered Nov 24 at 23:37
WaveX
2,4902721
2,4902721
thanks for your answer. I see how the sampling scheme works, but how do I put this formally into a probability mass function since i dont know what s is exactly. My attempt so far was to show that either way you can make the same amount of distinct samples, which implies that the probability is the same. But how can i exactly show that with a probability mass function?
– Nicola Zaugg
Nov 25 at 12:04
We have $n_1+n_2$ objects being chosen from $P$ total objects as our sample. So there are ${P}choose{n_1+n_2}$ different possible samples we could have. And if each sample is equally likely, the probability for any particular sample being selected would be $1 / {P}choose{n_1+n_2}$
– WaveX
Nov 25 at 16:47
add a comment |
thanks for your answer. I see how the sampling scheme works, but how do I put this formally into a probability mass function since i dont know what s is exactly. My attempt so far was to show that either way you can make the same amount of distinct samples, which implies that the probability is the same. But how can i exactly show that with a probability mass function?
– Nicola Zaugg
Nov 25 at 12:04
We have $n_1+n_2$ objects being chosen from $P$ total objects as our sample. So there are ${P}choose{n_1+n_2}$ different possible samples we could have. And if each sample is equally likely, the probability for any particular sample being selected would be $1 / {P}choose{n_1+n_2}$
– WaveX
Nov 25 at 16:47
thanks for your answer. I see how the sampling scheme works, but how do I put this formally into a probability mass function since i dont know what s is exactly. My attempt so far was to show that either way you can make the same amount of distinct samples, which implies that the probability is the same. But how can i exactly show that with a probability mass function?
– Nicola Zaugg
Nov 25 at 12:04
thanks for your answer. I see how the sampling scheme works, but how do I put this formally into a probability mass function since i dont know what s is exactly. My attempt so far was to show that either way you can make the same amount of distinct samples, which implies that the probability is the same. But how can i exactly show that with a probability mass function?
– Nicola Zaugg
Nov 25 at 12:04
We have $n_1+n_2$ objects being chosen from $P$ total objects as our sample. So there are ${P}choose{n_1+n_2}$ different possible samples we could have. And if each sample is equally likely, the probability for any particular sample being selected would be $1 / {P}choose{n_1+n_2}$
– WaveX
Nov 25 at 16:47
We have $n_1+n_2$ objects being chosen from $P$ total objects as our sample. So there are ${P}choose{n_1+n_2}$ different possible samples we could have. And if each sample is equally likely, the probability for any particular sample being selected would be $1 / {P}choose{n_1+n_2}$
– WaveX
Nov 25 at 16:47
add a comment |
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