Problem 7.2.Let the number of customers N who walk into Hooper's store on agiven day be Poisson with variance 30. The probability that a particular customer is a monsteris 2/3. The number of customers is independent from whether they are monsters or not.What is the probability that the total number of customers in a particular day is 25, giventhat the number of monster-customers equals 12?

Answered: Image /qna-images/answer/2d2165e9-067c-4271-8b24-b3f934337eea.jpg

Answered: Problem 7.2. Let the number of…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Solve normal distribution problem #11
A farmer has six geese, each of which lays an egg with probability 2/3 (independently of all the other geese). Suppose that the farmer sells each egg for five gold coins. What is the variance of the number of coins received?
The mean height of 15-year-old boys (in em) is 175 and the variance is 64. For girls, the mean is 165 and the variance is 64. Assuming that the two populations are nomally distributed. If eight boys and eight girls were sampled, then the probability that the mean height of the sample of boys would be higher than the mean height of the sample of girls 18: O 0 9878 O 0.0062 O 0.9938 0 9972 Let E[X(Y-1)] 10, E[X(Y#1)] 20, V(X) Then E(Y) 8. V(Y) 12 and V(X+Y) 30. O 14/5 12/5 2
2. A department store receives an average of 5 returned items per day. The probability that a returned item has an available replacement is 0.65. [Hint: there are two separate distributions here.] d. e. f. Calculate the probability that there are 4 returned items and none has available replacements in a certain day. Calculate the variance and the mean of the returned items. Calculate the variance and the mean of the replaced items. 2
Suppose that we have disjoint normal populations A and B with equal population variances. Suppose we plan a sample of size 4 from from population A and a sample of size 9 from population B which we will pool to form the pooled variance. If you know the population variances are both in fact equal to 6, what is the probability that the pooled variance of the two samples will turn out to be less than 8 given your information? .8 .2 .82 .18 NONE OF THE OTHERS
5. Based on recent records, the manager of a car painting centre has determined the following probability distribution for the number of customers per day: 1 3 4 P(X = x) 0.05 0.2 0.3 0.25 0.15 0.05 А. f the centre has the capacity to serve three customers per day, what is the probability that one or more customers will be turned away on a given day? В. What is the probability that the centre's capacity will not be fully utilized on a day? С. away is no more than 0.1? By how much the capacity must be increased so the probability of turning customer 2. il
2.6
12. A survey conducted discovered that 63% of all Americans are overweight. Suppose that a number of randomly selected Americans are weighed. The following table may (or may not) be useful: k 0 1 2 3 4 1 4 6 4 1 4Ck (a) Find the probability that the 4th person weighed is the first person to be overweight. (b) Find the probability that it takes less than 4 people to observe the first overweight person. (c) Find the expected value and variance of the number of Americans that would have to be weighed in order to find the first person that was overweight.
2. Give the probability generating function for an offspring distribution in which an individual either dies, with probability 1- p, or gives birth to three children, with probability p, Also find the mean and variance of the number of children in the fourth generation.
4. Make a “tree” diagram for the following scenario. You go to the corner of State St. and Center Ave and are looking to see if the drivers of the first three cars that pass by you are wearing hats or not wearing hats. a) Generate the probability distribution for problem number 4 assuming that the probability of a driver wearing a hat is 40% and the random variable x is the number of drivers wearing a hat. b) Find the mean, variance and the standard deviation of the probability distribution in part a. Please show all work.
4. There are 4 red balls, 6 blue balls and 2 white balls in a bag. Suppose on every single turn, you randomly select a ball, see the color of it and put it back in the bag. You keep doing this repeatedly. a. What is the probability that you get the first red ball on the 5th turn? b. How many turns are expected to get one non-white ball? c. What is the variance of the number of turns required to get one blue ball?

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