Probability of receiving a binary one

In summary: If you had defined A as the event of sending a 1 and B as the event of receiving a 1, the equation would have been correct.In summary, the probability of receiving a 1 given that a 1 was sent is 985/1000 or 147/148, which is approximately 0.9932. The correct equation for this problem is P(A|B) = P(A ∩ B) / P(B), where A is the event of sending a 1 and B is the event of receiving a 1.
  • #1
Addez123
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Homework Statement
When transmitting ones and zeros through wires it encounters disturbance and can alter the recieved number from 0 to one and 1 to zero.

Given that you've recieved a one, whats the probability that one was actually sent?
Relevant Equations
The risk of sending 0 but receiving 1 is .01
The risk of sending 1 but receiving 0 is .02

The 0s and 1s are sent in the proportions:
Zeros .6
Ones .4
$$P(A|B) = P(A \cap B) / P(A)$$

$$P(A) = \text{Chance of 1 being received} = .4 * .98 + .6 * .01 = .398$$
$$P(A \cap B) = \text{Chance 1 being sent and 1 being received} = .4 * .98 = .392$$
$$P(A|B) = P(A \cap B) / P(A) = .392 / .398 = .985$$

The correct answer is 147/148 ~= .9932

What am I doing wrong?

Also, am I supposed to use * for multiplication or is some other symbol prefered?
 
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  • #2
Hi,
Addez123 said:
The correct answer is 147/148 ~= .9932
Says who ? For the problem statement as you render it I don't see 147/148 popping up any way at all !
 
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  • #3
The solution in the book says 147/148 :/
 
  • #4
Addez123 said:
The solution in the book says 147/148 :/
Your method looks right to me.
 
  • #5
Addez123 said:
The solution in the book says 147/148 :/
Try swapping the proportion of zeros and ones that are sent!
 
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  • #6
Addez123 said:
Homework Statement:: When transmitting ones and zeros through wires it encounters disturbance and can alter the received number from 0 to one and 1 to zero.

Given that you've received a one, what's the probability that one was actually sent?
Relevant Equations:: The risk of sending 0 but receiving 1 is .01
The risk of sending 1 but receiving 0 is .02

The 0s and 1s are sent in the proportions:
Zeros .6
Ones .4

$$P(A|B) = P(A \cap B) / P(A)$$

$$P(A) = \text{Chance of 1 being received} = .4 * .98 + .6 * .01 = .398$$
$$P(A \cap B) = \text{Chance 1 being sent and 1 being received} = .4 * .98 = .392$$
$$P(A|B) = P(A \cap B) / P(A) = .392 / .398 = .985$$

The correct answer is 147/148 ~= .9932

What am I doing wrong?

Also, am I supposed to use * for multiplication or is some other symbol prefered?
You got the right answer, but as a result of two errors that cancelled.
P(A|B) is the probability of event A given event B. The correct equation is ##P(A|B) = \frac{P(A \cap B) }{ P(B)}##. Note the denominator.
The other error is that you defined A and B in such a way that your calculation should have yielded the probability of getting a 1 given that a 1 was sent, which is the converse of what is asked.
 
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What is the probability of receiving a binary one?

The probability of receiving a binary one is 50%, assuming a fair and unbiased system. This means that out of every two possible outcomes, one of them will be a binary one.

How is the probability of receiving a binary one calculated?

The probability of receiving a binary one is calculated by dividing the number of outcomes that result in a binary one by the total number of possible outcomes. For example, if there are 5 possible outcomes and 2 of them result in a binary one, the probability would be 2/5 or 40%.

Can the probability of receiving a binary one be greater than 50%?

No, the probability of receiving a binary one cannot be greater than 50%, assuming a fair and unbiased system. This is because there are only two possible outcomes and the probability of each outcome is equal.

What factors can affect the probability of receiving a binary one?

The probability of receiving a binary one can be affected by various factors such as biased systems, random chance, and external influences. It is important to ensure that any calculations or experiments are conducted in a fair and unbiased manner to accurately determine the probability.

How is the probability of receiving a binary one used in real-world applications?

The concept of probability, including the probability of receiving a binary one, is used in various real-world applications such as gambling, risk analysis, and statistical analysis. It helps to predict the likelihood of certain outcomes and make informed decisions based on that information.

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