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Sara is a salesperson for Cameras Etc which is a retailer.pdf

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Sara is a salesperson for Camera's Etc., which is a retailer for high-end digital cameras. Historically, Sara has averaged selling 2.1 extended warranties per day for cameras that she sells. Assume the numbe of camera warranties that Sara sells per day follows the Poisson distribution. Complete parts a through d. a. What is the probability that Sara will sell six extended warranties tomorrow? The probability that Sara will sell six extended warranties tomorrow is 0.0146 (Round to four decimal places as needed.) b. What is the probability that Sara will not sell an extended warranty tomorrow? The probability that Sara will not sell ahextended warranty tomorrow is 0.1225 (Round to four decimal places as needed) c. What is the probability that Sara will sell more than two extended warranties tomorrow? The probability that Sara will sell more than two extended warranties tomorrow is (Round to four decimal places as needed).

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Sara is a salesperson for Camera's Etc., which is a retailer for high-end digital cameras. Historically, Sara has averaged selling 2.1 extended warranties per day for cameras that she sells. Assume the numbe of camera warranties that Sara sells per day follows the Poisson distribution. Complete parts a through d. a. What is the probability that Sara will sell six extended warranties tomorrow? The probability that Sara will sell six extended warranties tomorrow is 0.0146 (Round to four decimal places as needed.) b. What is the probability that Sara will not sell an extended warranty tomorrow? The probability that Sara will not sell ahextended warranty tomorrow is 0.1225 (Round to four decimal places as needed) c. What is the probability that Sara will sell more than two extended warranties tomorrow? The probability that Sara will sell more than two extended warranties tomorrow is (Round to four decimal places as needed)

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  • 1. Sara is a salesperson for Camera's Etc., which is a retailer for high-end digital cameras. Historically, Sara has averaged selling 2.1 extended warranties per day for cameras that she sells. Assume the numbe of camera warranties that Sara sells per day follows the Poisson distribution. Complete parts a through d. a. What is the probability that Sara will sell six extended warranties tomorrow? The probability that Sara will sell six extended warranties tomorrow is 0.0146 (Round to four decimal places as needed.) b. What is the probability that Sara will not sell an extended warranty tomorrow? The probability that Sara will not sell ahextended warranty tomorrow is 0.1225 (Round to four decimal places as needed) c. What is the probability that Sara will sell more than two extended warranties tomorrow? The probability that Sara will sell more than two extended warranties tomorrow is (Round to four decimal places as needed)