Probability of Bit Strings with 1 and 00 Endings: A 10-bit Analysis

In summary, the probability that a randomly generated bit string of length 10 begins with a 1 or ends with 00 is 0.664, given that the probability of a bit being 0 is 0.4 and the probability of a bit being 1 is 0.6. This is calculated by adding the individual probabilities of the first digit being a 1 and the last two digits being 00, and then subtracting the probability of both events occurring simultaneously. The number of digits in the string does not affect the solution.
  • #1
cahiersujet
5
0

Homework Statement


Find the probability that a randomly generated bit string of length 10 begins
with a 1 or ends with 00 if the probability that a bit is a 0 is 0.4.


Homework Equations





The Attempt at a Solution


The probability that a bit is a 0 is 0.4 and that a bit is a 1 is 0.6.
1 - - - - - - - 0 0
I'm not sure how to move on?
 
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  • #2


In this case, it's easier to compute the probability that the bit string will neither begin with 1 nor end with two 0s.
 
  • #3


Your probability is P(bit string begins with a 1 OR bit string ends with 00). Seems to me that these are independent events, so you can break this probability into the sum of two probabilities, P(bit string begins with a 1) + P(bit string ends with 00).

Hopefully you can just do some fairly simple counting to come up with the two probabilities. For the first one, how many of the 2^10 bit strings start with a 1? For the second one, how many of the 2^10 bit strings end with 00?
 
  • #4


The other posts give a pretty good start.
Here's a complete solution, for posterity's sake:

The probability that the first digit is a 1 is $latex P_1 = 0.6$.
The probability the the last two digits are 00 is $latex P_{00} = (0.4)^2$.

The probability that the string either begins with a 1 or ends with 00 is given by $latex P_1 + P_{00} - P_1 P_{00} = 0.664$. (That's the probability that you get a 1 in the beginning, plus a probability that you get 00 in the end, minus the probability that both happens. The subtraction at the end avoids double-counting the possibility of both happening).

You'll notice that we never used the number of digits in the string. That's because if we don't care what values they take, then it doesn't matter. The problem would be the same for a 3-digit string.
 
  • #5


Oops! Here it is, sans formatting errors:

The probability that the first digit is a 1 is [tex] P_1 = 0.6 [/tex].
The probability the the last two digits are 00 is [tex] P_{00} = (0.4)^2 [/tex].

The probability that the string either begins with a 1 or ends with 00 is given by [tex] P_1 + P_{00} - P_1 P_{00} = 0.664 [/tex]. (That's the probability that you get a 1 in the beginning, plus a probability that you get 00 in the end, minus the probability that both happens. The subtraction at the end avoids double-counting the possibility of both happening).

You'll notice that we never used the number of digits in the string. That's because if we don't care what values they take, then it doesn't matter. The problem would be the same for a 3-digit string.
 

1. What is the concept of probability of bits?

The probability of bits refers to the likelihood or chance that a specific bit or binary digit will occur in a given data set, system, or process. It is a measure of uncertainty in the digital world and is often used in fields such as computer science, information theory, and communication engineering.

2. How is probability of bits calculated?

The calculation of probability of bits involves dividing the number of times a specific bit occurs by the total number of bits in a data set. This can also be represented as a percentage or decimal value between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.

3. What is the significance of probability of bits in data analysis?

Probability of bits is a fundamental concept in data analysis and can help in understanding the patterns and randomness in a data set. It is used to make predictions, identify anomalies, and assess the reliability of data in various fields such as machine learning, data mining, and statistical analysis.

4. How does the probability of bits affect data transmission and storage?

In data transmission, the probability of bits helps in determining the efficiency and accuracy of data transfer. Higher probability of bits means a higher chance of successful transmission, while lower probability increases the risk of errors. In data storage, probability of bits is used to assess the capacity and reliability of storage devices.

5. Can probability of bits be manipulated or controlled?

No, probability of bits is a mathematical concept based on statistical principles and cannot be manipulated or controlled. However, it can be influenced by factors such as data structure, encoding methods, and external noise, which can ultimately impact the probability of a specific bit occurring.

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