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C. Records of an insurance company show that 3/1000 of the accidents reported to the company involve a fatality. Determine: (i) The probability that no fatality is involved in thirty accidents reported. (ii) The probability that four fatal accidents are included in twenty accidents reported.

C. Records of an insurance company show that 3/1000 of the accidents reported to the company involve a fatality. Determine: (i) The probability that no fatality is involved in thirty accidents reported. (ii) The probability that four fatal accidents are included in twenty accidents reported.

A First Course in Probability (10th Edition)
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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C. Records of an insurance company show that 3/1000 of the accidents reported to the company involve a fatality. Determine: (i) The probability that no fatality is involved in thirty accidents reported. (ii) The probability that four fatal accidents are included in twenty accidents reported. D. Suppose the selling price of various houses in Lusaka follow a normal distribution with mean p=k276,000 and standard deviation õ=k32,000. (i) Calculate the probability that the next house in Lusaka will sell for more than k206,000. (ii) Calculate the probability that the next house will sell less than k220,000 (iii) Calculate the probability that the next house in Lusaka will sell for more than k250,000 but less than k350,000.
Transcribed Image Text:C. Records of an insurance company show that 3/1000 of the accidents reported to the company involve a fatality. Determine: (i) The probability that no fatality is involved in thirty accidents reported. (ii) The probability that four fatal accidents are included in twenty accidents reported. D. Suppose the selling price of various houses in Lusaka follow a normal distribution with mean p=k276,000 and standard deviation õ=k32,000. (i) Calculate the probability that the next house in Lusaka will sell for more than k206,000. (ii) Calculate the probability that the next house will sell less than k220,000 (iii) Calculate the probability that the next house in Lusaka will sell for more than k250,000 but less than k350,000.
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