Expected Value of X in Binomial Trials

In summary, the conversation discusses the calculation of the expected value of a random variable, X, which is assigned to the outcomes of three Bernoulli trials with a probability of success of 0.4. The expected value of X is found by using the formula E[X] = (1*2^0 * 0.4) + (1*2^1 * 0.4) + (1*2^2 * 0.4) = 2.8. In the case of P[S] = 0.5, the expected value of X would be 3.5. The conversation also clarifies that the trials should be Bernoulli trials, not binomial trials, and provides a
  • #1
nbalderaz
6
0
In a series of three binomial trials with p=.4, a random variable, X, is assigned to the outcomes to form a base 2 number, with 1 associated with success(S), and 0 associated with failure(F). For example, SFS->101=5.

A) Find the expected value of X, E[X].
(Answer 2.80)

B) Find the expected value of X if P=.5
(Answer 3.5)
 
Physics news on Phys.org
  • #2
What have u done so far?

-- AI
 
  • #3
I think you mean 3 bernoulli trials and not binomial trials. Remember bernoulli trials have just 2 outcomes (1 and 0 in your question).
Since you know the 3 digit number (from the SFS or other combinations) just use definition of Expectation.
E[X] = Summation (x*P(x))
In your case the x would be 1*2^n and 0*2^n(which is 0 so can ignore)...n is the power corresponding to the placing of the number.
As for a number at the unit's place, you would have 1*2^0.
For Bernoulli the expectation is just p and then use the definition to obtain the result.

Hope this helps.
 

1. What is the definition of "Expected Value of X in Binomial Trials"?

The expected value of X in binomial trials is a statistical measure that represents the average outcome of a binomial experiment. It is calculated by multiplying the number of trials by the probability of success in each trial.

2. How is the expected value of X in binomial trials calculated?

The expected value of X in binomial trials is calculated by multiplying the number of trials (n) by the probability of success (p) in each trial. This can be represented as E(X) = np.

3. What does the expected value of X in binomial trials tell us?

The expected value of X in binomial trials tells us the average number of successes we can expect in a given number of binomial trials. It is a useful measure for predicting the outcomes of binomial experiments.

4. Can the expected value of X in binomial trials be a decimal number?

Yes, the expected value of X in binomial trials can be a decimal number. This is because it is a measure of average and does not have to be a whole number. However, in some cases, it may be more appropriate to round the expected value to the nearest whole number.

5. How is the expected value of X in binomial trials affected by changes in the number of trials or probability of success?

The expected value of X in binomial trials is directly affected by changes in the number of trials or probability of success. As the number of trials increases, the expected value also increases. Similarly, as the probability of success increases, the expected value also increases. This relationship can be represented by the formula E(X) = np, where n is the number of trials and p is the probability of success.

Similar threads

  • Set Theory, Logic, Probability, Statistics
Replies
0
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
6
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
3
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
4
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
14
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
3
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
2
Views
3K
  • Calculus and Beyond Homework Help
Replies
4
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
2
Views
1K
Back
Top