Question

Draw an uncertain event that is characterized by an exponential distribution.

Draw an uncertain event that is characterized by an exponential distribution.

Homework Answers

Answer #1

Exponential Distribution:

The exponential distribution is the probability distribution that describes the time between events in a Poisson point process, i.e., a process in which events occur continuously and independently at a constant average rate.

Example of Exponential Distribution:

You observe the number of calls that arrive each day over a period of a year, and note that the arrivals follow a Poisson distribution with an average of 3 per day.

Let T be the waiting time between calls.

Then T will follow an exponential distribution.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Draw an uncertain event that is characterized by the discrete uniform distribution with four potential outcomes...
Draw an uncertain event that is characterized by the discrete uniform distribution with four potential outcomes (A, B, C, D).
Suppose that the time between successive occurrences of an event follows an exponential distribution with mean...
Suppose that the time between successive occurrences of an event follows an exponential distribution with mean number of occurrences per minute given by λ = 5. Assume that an event occurs. (A) Derive the probability that more than 2 minutes elapses before the occurrence of the next event. Derive the probability that more than 4 minutes elapses before the occurrence of the next event. (B) Use to previous results to show: Given that 2 minutes have already elapsed, what is...
The exponential distribution Consider the random variable X that follows an exponential distribution, with μ =...
The exponential distribution Consider the random variable X that follows an exponential distribution, with μ = 40. The standard deviation of X is σ = a. 40 b.0.0006 c. 6.321 d. 0.0250 . The parameter of the exponential distribution of X is λ = a.40 b. 0.0250 b. 6.321 d. 0.0006 . What is the probability that X is less than 27? P(X < 27) = 0.2212 P(X < 27) = 0.5034 P(X < 27) = 0.4908 P(X < 27)...
Compute and compare λ(t) for exponential, Weibull distribution, and Gamma distribution.
Compute and compare λ(t) for exponential, Weibull distribution, and Gamma distribution.
1) EXPLAIN STANDARD DENOTATION OF EXPONENTIAL DISTRIBUTION
1) EXPLAIN STANDARD DENOTATION OF EXPONENTIAL DISTRIBUTION
Derive the cdf for an exponential distribution with parameter λ.
Derive the cdf for an exponential distribution with parameter λ.
Data collected at an airport suggests that an exponential distribution with mean value 2.855 hours is...
Data collected at an airport suggests that an exponential distribution with mean value 2.855 hours is a good model for rainfall duration. What is the probability that the duration of a particular rainfall event at this location is at least 2 hours? At most 3 hours? Between 2 and 3 hours? What is the probability that rainfall duration exceeds the mean value by more than 2 standard deviations?
Write out the poisson distribution in exponential family form.
Write out the poisson distribution in exponential family form.
Use Laplace inversion formula to find the cdf of exponential distribution.
Use Laplace inversion formula to find the cdf of exponential distribution.
Suppose that X follows an exponential distribution ?(?) = {?? -?? 0,, ? ? > ≤...
Suppose that X follows an exponential distribution ?(?) = {?? -?? 0,, ? ? > ≤ 0 0 And let’s assume random variable ? = 2? + 4 find the expected value of Y. (?[?])
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT