5. The random variable X represents the number of cherries in a cherry puff, and has the probability distributionf(4) = 0.2, f(5) = 0.4, ƒ(6) = 0.3, ƒ (7) = 0.1, where f(x) is the probability that there are x cherries in thecherry puff. Find the probability that the average number of cherries in 36 cherry puffs is less than 5.5.

Answered: 5. The random variable X represents the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Q3. A random variable X is normally distributed with µ= 50 and o² = 25 . Find the %3D Probability (a) that it will fall between (i) 0 and 40 (ii) 55 and 100 (b) that it will be (i) large than 54 (ii) smaller than 57
4. The battery life of a fully charge iPhone 13 Pro on a standby follows a normally distributed with mean 7 hour and variance o² fl = 1 hours. = (a) Write out the integral form of the probability that a fully-charged iPhone 13 Pro last between 7 and 9 hours on standby. then use the pnorm function in R to find this probability. (b) What is the probability that a fully-charged iPhone 13 Pro last less than 5 hours? (c) What is the probability that a fully-charged iPhone 13 Pro last more than 9 hours? (d) What is the minimum time a fully-charged iPhone 13 Pro need to last in order to be in the top 10% best quality?
Suppose X is a random variable of uniform distribution between 1 and 7. Find E(X)
If a random variable that follows exponential distribution shows that P(X2000)=0.4, Then P(30002000) is: Select one: a. 0.3535 b. 0.3795 C. 14 0.3098 d. 0.2510 е. 0.3834
The United States Department of Agriculture (USDA) found that the proportion of young adults ages 20–39 who regularly skip eating breakfast is 0.2380.238. Suppose that Lance, a nutritionist, surveys the dietary habits of a random sample of size ?=500n=500 of young adults ages 20–39 in the United States. Apply the central limit theorem to find the probability that the number of individuals, ?,X, in Lance's sample who regularly skip breakfast is greater than 126126. You may find table of critical values helpful. Express the result as a decimal precise to three places. Then, Apply the central limit theorem for the binomial distribution to find the probability that the number of individuals in Lance's sample who regularly skip breakfast is less than 9898. Express the result as a decimal precise to three places.
34. Suppose that X is a random variable with MGF M(t) = (1/8)e + (1/4)e + (5/8)e. (a) What is the distribution of X? (b) What is P[X= 2]?
6. Let X1, X2, ...X100 denote a random sample of size 100 from an exponential distribution with mean 1. Let Y equal the sum of all the X's. Approximate the probability that Y is greater than 110. |
Let X be the time (in minutes) it takes Mr. Sheikh to drive from his home to his office. Suppose X has a uniform distribution on [25, 40]. If he leaves his home every day at 8:25 am and has to be in by 9:00 am, what is the probability that he will be late for work?
I need to figure out the probability that component proportions produce the results X1 < 0.2 and X2 > 0.5 but I need help.
The cumulative distribution function for a random variable X is given by: (1-e for x20 F(x)=- otherwise Compute P (X >2). Select one: a. e4 O b. e-4 О с. -2 С. e O d. 2
3. Table 1 below shows the probability distribution of hurricanes that have made landfall in the Caribbean. The random variable, X, is the category of the hurricane. Category 1 is the weakest hurricane level while category 5 is the strongest. Table 1 x 1 2 3 4 5 P(X=x) 0.41 0.34 0.13 0.07 * a) Find the value of ‘*’. [1] b) Find the expected category of hurricane to make landfall, E(X). [2] c) What is the probability that a Category 4 or stronger hurricane will make landfall?[1] d) Calculate the variance. [3]

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