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2. The following table shows the probability distribution of the number of watches that a jeweller will sell on a given day. Number of Watches Probability P(X) 0.05 1 0.20 0.30 0.25 4 0.15 0 or 23

2. The following table shows the probability distribution of the number of watches that a jeweller will sell on a given day. Number of Watches Probability P(X) 0.05 1 0.20 0.30 0.25 4 0.15 0 or 23

College Algebra
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.3: Binomial Probability
Problem 33E: Sick leave probability that a given worker at Dyno Nutrition Will call in sick on a Monday is 004....
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2. The following table shows the probability distribution of the number of watches that a jeweller will sell on a given day. Number of Watches Probability P(X) 0.05 1 0.20 0.30 0.25 4 0.15 0.05 a. What is the probability that a jeweller will sell exactly four watches on a given day? b. What is the probability that a jeweller will sell, at least, two watches on a given day? c. What is the probability that a jeweller will sell, at most, three watchers on a given day? d. What is the probability that a jeweller will sell at least two watches on a given day? e. What is the mean of the probability distribution? f. What is the standard deviation of the probability distribution? 23
Transcribed Image Text:2. The following table shows the probability distribution of the number of watches that a jeweller will sell on a given day. Number of Watches Probability P(X) 0.05 1 0.20 0.30 0.25 4 0.15 0.05 a. What is the probability that a jeweller will sell exactly four watches on a given day? b. What is the probability that a jeweller will sell, at least, two watches on a given day? c. What is the probability that a jeweller will sell, at most, three watchers on a given day? d. What is the probability that a jeweller will sell at least two watches on a given day? e. What is the mean of the probability distribution? f. What is the standard deviation of the probability distribution? 23
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