Question

The negative binomial random variable models the number of Bernoulli trials until the rth success is...

The negative binomial random variable models the number of Bernoulli trials until the rth success is achieved.

True or false?

Homework Answers

Answer #1

We know that binomial random variable model is given as Binomial(n,p), which means sum of n Bernoulli trials with success probability p

and negative binomial random variable model is given as

Negative Binomial(r,p), which means number of Bernoulli trials until the rth success.

And, geometric distribution represents number of trials until the first success in bernoulli trials.

So, we can see that the given statement is the correct statement for the negative binomial model for a random variable.

Therefore, given statement is true.

Answer is TRUE

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
A binomial random variable X is defined as the number of successes achieved in the n...
A binomial random variable X is defined as the number of successes achieved in the n trials of a Bernoulli process. Describe an event in your life that fits the properties of a Bernoulli process, being sure to explain how each property is met by your event. Finally, state the number of trials and the number of successes for your event. Be specific.
Match the distribution to the description Group of answer choices Bernoulli Binomial   Geometric      Negative Binomial...
Match the distribution to the description Group of answer choices Bernoulli Binomial   Geometric      Negative Binomial Poisson Counting the number of occurrences of an event in a continuous interval            the sum of n independent bernoulli trials            given a series of independent bernoulli trials, stop when you get r successes (where r can be any positive integer)            given a series of independent bernoulli trials, stop when you get the first success     ...
Let X be the binomial random variable obtained by adding n=4 Bernoulli Trials, each with probability...
Let X be the binomial random variable obtained by adding n=4 Bernoulli Trials, each with probability of success p=0.25. Define Y=|X-E(x)|. Find the median of Y. A.0 B.1 C.2 D.3 E.Does not exist
Suppose  is a Binomial random variable for which there are 8 independent trials and probability of success...
Suppose  is a Binomial random variable for which there are 8 independent trials and probability of success 0.5 and is a Binomial random variable for which there are 10 independent trials and probability of success 0.5. What is the difference in their means? a. 1 b. 1.25 c. 1.5 d. 0.5 e. 2
Determine if the random variable from the experiment follows a Binomial Distribution. A random sample of...
Determine if the random variable from the experiment follows a Binomial Distribution. A random sample of 5 SLCC professors is obtained, and the individuals selected are asked to state the number of years they have been teaching at SLCC. 1. There there are two mutually exclusive outcomes (success/failure).                            [ Select ]                       ["FALSE", "TRUE"]       2. Since a sample size of 5 is less than...
A) Suppose we are considering a binomial random variable X with n trials and probability of...
A) Suppose we are considering a binomial random variable X with n trials and probability of success p. Identify each of the following statements as either TRUE or FALSE. a) False or True - The variance is greater than n. b)    False or True - P(X=n)=pn. c)    False or True - Each individual trial can have one of two possible outcomes. d)    False or True - The largest value a binomial random variable can take is n + 1. e)...
Bonus Group Project 1: Negative Binomial Distribution Negative Binomial experiment is based on sequences of Bernoulli...
Bonus Group Project 1: Negative Binomial Distribution Negative Binomial experiment is based on sequences of Bernoulli trials with probability of success p. Let x+m be the number of trials to achieve m successes, and then x has a negative binomial distribution. In summary, negative binomial distribution has the following properties Each trial can result in just two possible outcomes. One is called a success and the other is called a failure. The trials are independent The probability of success, denoted...
Let the probability of success on a Bernoulli trial be 0.16. a. In seven Bernoulli trials,...
Let the probability of success on a Bernoulli trial be 0.16. a. In seven Bernoulli trials, what is the probability that there will be 6 failures? (Do not round intermediate calculations. Round your final answers to 4 decimal places.) b. In seven Bernoulli trials, what is the probability that there will be more than the expected number of failures? (Do not round intermediate calculations. Round your final answers to 4 decimal places.)
Let the probability of success on a Bernoulli trial be 0.28. a. In five Bernoulli trials,...
Let the probability of success on a Bernoulli trial be 0.28. a. In five Bernoulli trials, what is the probability that there will be 4 failures? (Do not round intermediate calculations. Round your final answers to 4 decimal places.) b. In five Bernoulli trials, what is the probability that there will be more than the expected number of failures? (Do not round intermediate calculations. Round your final answers to 4 decimal places.)
Let the probability of success on a Bernoulli trial be 0.21. a. In seven Bernoulli trials,...
Let the probability of success on a Bernoulli trial be 0.21. a. In seven Bernoulli trials, what is the probability that there will be 6 failures? (Do not round intermediate calculations. Round your final answer to 4 decimal places.) b. In seven Bernoulli trials, what is the probability that there will be more than the expected number of failures? (Do not round intermediate calculations. Round your final answer to 4 decimal places.)