Question

A store offers a new seasonal featured product. Let N be the random variable which designates...

A store offers a new seasonal featured product. Let N be the random variable which designates the number of customers who come to the store during the season, where N ∼ Poi (30). It is estimated that the probability that a customer will buy this new product is 0,7 and this independently of one customer to another.

a) It is assumed here that the store has an unlimited stock of this product. Let X and Y be the random variables such that X = the number of customers who buy the product; Y = the number of customers who do not buy the product. Are the variables X and Y independent? To justify.

b) The store has a profit of 25 $ for each unit sold. Each unsold unit should be stored for next year at the cost of 15$. Determine the value of the number of units stored n that the store should have to maximize its average profit.

Homework Answers

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
Let X denote a random variable that follows a binomial distribution with parameters n=5, p=0.3, and...
Let X denote a random variable that follows a binomial distribution with parameters n=5, p=0.3, and Y denote a random variable that has a Poisson distribution with parameter λ = 6. Additionally, assume that X and Y are independent random variables. Derive the joint probability distribution function for X and Y. Make sure to explain your steps.
Consider an online store where a number of customers visit and buy a product every hour....
Consider an online store where a number of customers visit and buy a product every hour. Let X be the number of people who enter the store per hour. The store is active for 14 hours per day, every day of the week. It is calculated from data collected that the average number of customers per hour is 10. (a) When is it appropriate to approximate a Poisson Distributed random variable with a Normal Distribution? State the appropriate parameters for...
Let X denote a random variable that follows a binomial distribution with parameters n=5, p=0.3, and...
Let X denote a random variable that follows a binomial distribution with parameters n=5, p=0.3, and Y denote a random variable that has a Poisson distribution with parameter λ = 6. Additionally, assume that X and Y are independent random variables. Using the joint pdf function of X and Y, set up the summation /integration (whichever is relevant) that gives the expected value for X, and COMPUTE its value.
Let X denote a random variable that follows a binomial distribution with parameters n=5, p=0.3, and...
Let X denote a random variable that follows a binomial distribution with parameters n=5, p=0.3, and Y denote a random variable that has a Poisson distribution with parameter λ = 6. Additionally, assume that X and Y are independent random variables. Using the joint pdf function of X and Y, set up the summation /integration (whichever is relevant) that gives the expected value for X, and COMPUTE its value.
let X, Y be random variables. Also let X|Y = y ~ Poisson(y) and Y ~...
let X, Y be random variables. Also let X|Y = y ~ Poisson(y) and Y ~ gamma(a,b) is the prior distribution for Y. a and b are also known. 1. Find the posterior distribution of Y|X=x where X=(X1, X2, ... , Xn) and x is an observed sample of size n from the distribution of X. 2. Suppose the number of people who visit a nursing home on a day is Poisson random variable and the parameter of the Poisson...
Let ?1, ?2,…. . , ?? (n random variables iid) as a variable X whose pdf...
Let ?1, ?2,…. . , ?? (n random variables iid) as a variable X whose pdf is given by ??-a-1 for ? ≥1. (a) For ? ≥ 1 calculate ? (??? ≤ ?) = ? (?). Deduce the function density of probabilities of Y = lnX. (b) Determine the maximum likelihood estimator (MLE) of ? and show that he is without biais
State-wide surveys indicate that 14.5% of toddlers in New York are obese. Let the random variable...
State-wide surveys indicate that 14.5% of toddlers in New York are obese. Let the random variable X be the number of toddlers who are obese in a random sample of 20 toddlers from the state of New York. What is the probability P(X less then or equal too 1)? a.) 0.0436 b.) 0.1914 c.) 0.1450 d.) 0.0872
A restaurant chain wants to create dishes that will attract new clientele. They are interested in...
A restaurant chain wants to create dishes that will attract new clientele. They are interested in adding some organic options to their menu. A survey revealed that 22% of people over 50 and 32% of people under 50 prefer organic foods. The restaurant wants to poll their clientele. 60 clients were randomly selected: 20 older adults and 40 younger adults. Let X be the number of older adults (out of 20) who prefer organic. Let Y be the number of...
Flex Inc., an electronic system integrator, developed a new product, which consists of a key component...
Flex Inc., an electronic system integrator, developed a new product, which consists of a key component sourced from a supplier and the software developed in house. For the coming selling season, Flex’s demand forecast for the integrated system is normally distributed with a mean of 1000 and standard deviation of 600. Flex incurs no costs associated with software integration. It sells the integrated system at $121 per unit to several of its key customers. Flex can also dump any integrated...
1.A fair die is rolled once, and the number score is noted. Let the random variable...
1.A fair die is rolled once, and the number score is noted. Let the random variable X be twice this score. Define the variable Y to be zero if an odd number appears and X otherwise. By finding the probability mass function in each case, find the expectation of the following random variables: Please answer to 3 decimal places. Part a)X Part b)Y Part c)X+Y Part d)XY ——- 2.To examine the effectiveness of its four annual advertising promotions, a mail...