If I sum a binomial random variable with n=5 and p =0.3 and a binomial random variable with m=10 and p =0.5, I get
Select one:
a. Something unfamiliar to us as yet
b. A normal distribution
c. A binomial random variable with number of Bernoulli trials =15 and p =0.4
d. A Binomial with number of Bernoulli trials =15 and p=0.4
a. Something unfamiliar to us as yet
The binomial distributions add to for another binomial distribution if the probability of success, p is same for both distributions that are to be added. here, p is different for the two binomial random variables and hence it forms some discrete distribution which cannot be classified as any of the option given here.
If I sum a binomial random variable with n=5 and p =0.3 and a binomial random...
5.a. Usining Binomial probability distribution formula for a random variable X, compute Where N= 15, p=0.3 and find P(x=2)? Begin P(X=2) =
help 5.a. Usining Binomial probability distribution formula for a random variable X, compute Where N=15, p=0.3 and find P(x=2)? Begin PIX=2) =
If X is a binomial random variable counting the number of successes in n = 5 Bernoulli trials, each with probability of success p = .2, find Pr[X = 2], correct to 4 decimal places. A. .4000 B. .2048 C. .2000 D. .1024 E. .0512
1. Imagine a coin toss experiment, where P(Heads)-P(Tails) 0.5. Define a random variable of your choice for this experiment and come up formulation for a question about this experiment, so that The distribution of a random variable for this experiment follows a binomial distribution The distribution of a random variable for this experiment follows a geometric distribution a. b. Note: you are only required to come up with the problem statement. Note, that this experiment itself is a Bernoulli trial....
4. Consider a binomial random variable with n = 5 and p = 0.7. Let x be the number of successes in the sample. Evaluate the probability. (Round your answer to three decimal places.) 5. Let x be a binomial random variable with n = 8, p = 0.2. Find the following value. 6. Let x be a binomial random variable with n = 8, p = 0.3. Find the following value. (Round your answer to three decimal places.)
Show that if X follows a binomial distribution with n, trials and probability of success p,-p,jz 1,2, Hint: Use the moment generating function of Bernoulli random variable) 1. , n and X, are independent then X, follows a binomial distribution.
5. A random variable X follows a binomial distribution with n 35 and p-4. Use the normal approximation to the binomial distribution to find P(X < 16)
Let X be a binomial random variable with p 0.3 and n 10. Calculate the following probabilities from the binomial probability mass function. Round your answers to four decimal places (e.g. 98.7654). P(X> 8)
Let N be a binomial random variable with n = 2 trials and success probability p = 0.5. Let X and Y be uniform random variables on [0, 1] and that X, Y, N are mutually independent. Find the probability density function for Z = NXY.
a) Consider the following data on a variable that has Bernoulli distribution: X P (X) 0 0.3 1 0.7 Find the Expected value and the variance of X. And E(X)-X Px) b) Consider the following information for a binomial distribution: N number of trials or experiments 5 x- number of success 3 Probability of success p 0.4 and probability of failure 1-p 0.6 Find the probability of 3 successes out of 5 trials: Note P(x) Nox p* (1-p)Note: NcN!x! (N-x)!...