Consider a binomial random variable x- Binom(n.p) with n = 50 being the number of trials andp= 0.2 being the probability of success.Calculate P(X> 12)It is recommended that you use R for this calculation. Answer as a decimal and not a percentage. Accuracy requiredto 3 decimal places, e.g. 0.123.

Name: Consider a binomial random variable x- Binom(n.p) with n = 50 being t
Uploaded: 2024-03-20T07:06:41.000Z
Channel: Bartleby
Description: Consider a binomial random variable x- Binom(n.p) with n = 50 being the number of trials andp= 0.2 being the probability of success.Calculate P(X> 12)It is recommended that you use R for this calculation. Answer as a decimal and not a percentage. Ac

Answered: Consider a binomial random variable x~…

Math

Statistics

Consider a binomial random variable x~ Binom(n.p) with n= 50 being the number of trials and p= 0.2 being the probability of success. Calculate p(X> 12)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Let the random variable X represent the number of aces observed . Compute the probability Pr * (X = 4) when 5 cards are dealt on the table (from a deck of standard playing cards ).
Find the probability that a lot of 100 items, of which five are defective, will be accepted in a test of a randomly selected sample containing half the lot if, to be accepted, the number of defective items in a lot of 50 cannot exceed one.
In a human genome there are 6.4X109 basepairs and the mutation rate per generation per basepair is 1.8X10-8 basepairs. What is the expected number of new mutations (not carried by either of your parents) present in you? What is the probability that you contain 20 new mutations? Use Poisson distribution to solve.
A fair standard die is rolled 50 times. Let W be a random variable with binomial distribution thát represents the number of times the face with a six on it appears uppermost. Pr(W = k+1) _ (50 – k) 5(k +1) b. Show that %3D Pr(W = k)
the height of a randomly selected male individual in a population is a normal random variable with mathematical expectation m=178 σ =8 what % of the individuals of this population is taller than 185cm?the height of the female individuals in this population is of normal distribution with parameters m=165 cm and σ=7cm. what % of the women are taller than half of the men
he mean height of women in a country (ages 20minus−29) is 63.663.6 inches. A random sample of 5555 women in this age group is selected. What is the probability that the mean height for the sample is greater than 6464 inches? Assume sigmaσequals=2.892.89.
A Binomial experiment has 100 trials and a probability of success of 0.8.Determine the mean of this experiment.
A cellular call is made to your cell phone at random within a ten-minute interval. You werebusy on a call for 2 minutes into this ten-minute period. There is a probability that the callarrived when you were not busy on your cell. Identify the random variable and define thedistribution of the random variable?
An average of 1 package is sent to a server in 1 second. The server, on the other hand, prepares a document using the 5 packages received. The time between packets is modeled as an exponential random variable. Let X be a random variable expressing the time it takes the server to prepare a document. The time taken to prepare a document; a) Find the probability that it is more than 10 seconds.(with detail) b) Find the probability that it is between 5 seconds and 10 seconds. (with detail)
Let X denote the random variable that gives the sum of the faces that fall uppermost when two fair dice are cast. Find P ( X = 5 )
Find the probability that a lot of 100 items, of which five are defective, will be accepted in a test of a randomly selected sample containing half the lot if, to be accepted, the number of defective items in a lot of 50 cannot exceed one.
Supposed random variable X has a Binomial distribution with 10 trials and probability of success = 0.4. What is E(X)?