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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.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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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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