Problems on Normal Variable [closed]
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I have a question on this problemï¼Â
You have a receiver that can receive two signals, signal $A$ and signal $B$. Both signals have $0$ mean and typically arrive with same frequency. Signal $A$ is normally distributed with variance $4$ and $B$ is normally distributed with variance $9$. You observe a signal with magnitude $2$. What is the probability the signal you observe is signal $A$?
probability
closed as off-topic by heropup, user99914, Adrian Keister, Jendrik Stelzner, Xander Henderson Sep 8 at 1:48
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." â heropup, Community, Adrian Keister, Jendrik Stelzner, Xander Henderson
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up vote
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I have a question on this problemï¼Â
You have a receiver that can receive two signals, signal $A$ and signal $B$. Both signals have $0$ mean and typically arrive with same frequency. Signal $A$ is normally distributed with variance $4$ and $B$ is normally distributed with variance $9$. You observe a signal with magnitude $2$. What is the probability the signal you observe is signal $A$?
probability
closed as off-topic by heropup, user99914, Adrian Keister, Jendrik Stelzner, Xander Henderson Sep 8 at 1:48
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." â heropup, Community, Adrian Keister, Jendrik Stelzner, Xander Henderson
2
Before you measured the the signal, were the two sources equally likely?
â Henry
Sep 7 at 10:50
I think they are just independent random variables
â Z-Harlpet
Sep 7 at 22:40
add a comment |Â
up vote
1
down vote
favorite
up vote
1
down vote
favorite
I have a question on this problemï¼Â
You have a receiver that can receive two signals, signal $A$ and signal $B$. Both signals have $0$ mean and typically arrive with same frequency. Signal $A$ is normally distributed with variance $4$ and $B$ is normally distributed with variance $9$. You observe a signal with magnitude $2$. What is the probability the signal you observe is signal $A$?
probability
I have a question on this problemï¼Â
You have a receiver that can receive two signals, signal $A$ and signal $B$. Both signals have $0$ mean and typically arrive with same frequency. Signal $A$ is normally distributed with variance $4$ and $B$ is normally distributed with variance $9$. You observe a signal with magnitude $2$. What is the probability the signal you observe is signal $A$?
probability
probability
edited Sep 8 at 0:28
Jendrik Stelzner
7,69121137
7,69121137
asked Sep 7 at 9:15
Z-Harlpet
307
307
closed as off-topic by heropup, user99914, Adrian Keister, Jendrik Stelzner, Xander Henderson Sep 8 at 1:48
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." â heropup, Community, Adrian Keister, Jendrik Stelzner, Xander Henderson
closed as off-topic by heropup, user99914, Adrian Keister, Jendrik Stelzner, Xander Henderson Sep 8 at 1:48
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." â heropup, Community, Adrian Keister, Jendrik Stelzner, Xander Henderson
2
Before you measured the the signal, were the two sources equally likely?
â Henry
Sep 7 at 10:50
I think they are just independent random variables
â Z-Harlpet
Sep 7 at 22:40
add a comment |Â
2
Before you measured the the signal, were the two sources equally likely?
â Henry
Sep 7 at 10:50
I think they are just independent random variables
â Z-Harlpet
Sep 7 at 22:40
2
2
Before you measured the the signal, were the two sources equally likely?
â Henry
Sep 7 at 10:50
Before you measured the the signal, were the two sources equally likely?
â Henry
Sep 7 at 10:50
I think they are just independent random variables
â Z-Harlpet
Sep 7 at 22:40
I think they are just independent random variables
â Z-Harlpet
Sep 7 at 22:40
add a comment |Â
1 Answer
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The probability density for $N(0,sigma)$ is $p_sigma(x)=frac1sqrt2pisigmae^frac-x^22sigma^2$. Therefore signal probabiliity is $A$ is$P(A)=fracp_2(2)p_2(2)+p_3(2)$.
I think we should consider conditional probability.
â Z-Harlpet
Sep 7 at 22:41
What conditions?
â herb steinberg
Sep 8 at 1:11
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
The probability density for $N(0,sigma)$ is $p_sigma(x)=frac1sqrt2pisigmae^frac-x^22sigma^2$. Therefore signal probabiliity is $A$ is$P(A)=fracp_2(2)p_2(2)+p_3(2)$.
I think we should consider conditional probability.
â Z-Harlpet
Sep 7 at 22:41
What conditions?
â herb steinberg
Sep 8 at 1:11
add a comment |Â
up vote
0
down vote
The probability density for $N(0,sigma)$ is $p_sigma(x)=frac1sqrt2pisigmae^frac-x^22sigma^2$. Therefore signal probabiliity is $A$ is$P(A)=fracp_2(2)p_2(2)+p_3(2)$.
I think we should consider conditional probability.
â Z-Harlpet
Sep 7 at 22:41
What conditions?
â herb steinberg
Sep 8 at 1:11
add a comment |Â
up vote
0
down vote
up vote
0
down vote
The probability density for $N(0,sigma)$ is $p_sigma(x)=frac1sqrt2pisigmae^frac-x^22sigma^2$. Therefore signal probabiliity is $A$ is$P(A)=fracp_2(2)p_2(2)+p_3(2)$.
The probability density for $N(0,sigma)$ is $p_sigma(x)=frac1sqrt2pisigmae^frac-x^22sigma^2$. Therefore signal probabiliity is $A$ is$P(A)=fracp_2(2)p_2(2)+p_3(2)$.
answered Sep 7 at 16:22
herb steinberg
1,476210
1,476210
I think we should consider conditional probability.
â Z-Harlpet
Sep 7 at 22:41
What conditions?
â herb steinberg
Sep 8 at 1:11
add a comment |Â
I think we should consider conditional probability.
â Z-Harlpet
Sep 7 at 22:41
What conditions?
â herb steinberg
Sep 8 at 1:11
I think we should consider conditional probability.
â Z-Harlpet
Sep 7 at 22:41
I think we should consider conditional probability.
â Z-Harlpet
Sep 7 at 22:41
What conditions?
â herb steinberg
Sep 8 at 1:11
What conditions?
â herb steinberg
Sep 8 at 1:11
add a comment |Â
2
Before you measured the the signal, were the two sources equally likely?
â Henry
Sep 7 at 10:50
I think they are just independent random variables
â Z-Harlpet
Sep 7 at 22:40