The probabilities that a customer buys
WebbThe objective of the analysis is to predict an item when sold, what is the probability that customer would file fraudulent / Genuine warranty and to understand important factors … WebbThe twine is usually sold in balls of length 100 m. A customer buys three balls of twine. (b) Find the probability that only one of them will have fewer than 6 faults. (6) As a special order a ball of twine containing 500 m is produced. (c) Using a suitable approximation, find the probability that it will contain between 23 and 33 faults inclusive.
The probabilities that a customer buys
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WebbThe probabilities that a customer buys 5,6,7, 8, and 9 items in a convenience store has the following probability distribution. х 5 6 7. 8 9 P (X) 0.25 0.12 0.28 0.15 0.20 … Webb8 okt. 2024 · A store sells 3 items, the chance that a customer will buy item A is 45%, item B 15% and item C is 40%. If 5 customers come to the store, what is the probability that 2 …
WebbThe probabilities that a customer buys 5,8,9,12 and 15 items in a grocery store are 0.06, 0.14, 0.32, 0.28, and 0.20 respectively. Which probability distribution represents the … Webb2.Suppose that of all the customers at a co ee shop:-70% purchase a cup of co ee.-40% purchase a piece of cake.-20% purchase both a cup of co ee and a piece of cake. Given …
WebbThe probability that a customer buys an extended warranty is 0.47 If we randomly select 15 customers P (7 buy the extended warranty) 0.202974048218 0.20 P (less than 7) 0.390501949433 0.39 P (9 or more) 0.226528148269 0.23 Expected value 7.05 7.05 n*p Standard deviation 1.933002845316 1.93 outcome binomdist 0 0.000073137 1 … WebbThe mean amount of carpet sold per month is known to have normal distribution. If the probability of selling more than 1,000 metres per month is 0.0668 and the standard deviation is 100 metres, what is the mean amount of carpet sold? math Statistics-And …
Webb30 mars 2024 · Given: Customers arrive at a shop according to the Poisson distribution with a mean of 10 customers/hour. ⇒ λ = 10 customers/60 min = 1 customer/6 min = 1/6 …
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