6. A discount car rental business rents out cars for K20 a day and has an arrangement with a leasing company to purchase used cars at K6 000 each. The cars receive only needed maintenance and as a result are worth only K2 000 at the end of the first year of operation after which they are all sold and new ones bought. Average number of cars rented per day 20 21 22 23 Probability .10 .20 .50 .20 It costs the car rental business K1.50 per car rental for minimal maintenance and cleaning. i. How many cars should he purchase every year to maximise profits? What is the expected value of perfect information? ii.
6. A discount car rental business rents out cars for K20 a day and has an arrangement with a leasing company to purchase used cars at K6 000 each. The cars receive only needed maintenance and as a result are worth only K2 000 at the end of the first year of operation after which they are all sold and new ones bought. Average number of cars rented per day 20 21 22 23 Probability .10 .20 .50 .20 It costs the car rental business K1.50 per car rental for minimal maintenance and cleaning. i. How many cars should he purchase every year to maximise profits? What is the expected value of perfect information? ii.
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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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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