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Computers and Technology, 26.05.2020 21:58 diggy72

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Computers and Technology, 22.06.2019 18:30, cascyrio2002
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Helen's credit card has an apr of 15.32% and a grace period of 17 days and helen pays her balance in the full every month. if her last billing cycle ended on september 26, 2009, and she made her payment on october 11, 2009, did she owe any interest on her last statement's balance?
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Computers and Technology, 25.06.2019 05:10, mathbrain58
Write a program that asks for 'name' from the user and then asks for a number and stores the two in a dictionary (called 'the_dict') as key-value pair. the program then asks if the user wants to enter more data (more data (y/n)? ) and depending on user choice, either asks for another name-number pair or exits and stores the dictionary key, values in a list of tuples and prints the list. note: ignore the case where the name is already in the dictionary. example: name: pranshu number: 517-244-2426 more data (y/n)? y name: rich number: 517-842-5425 more data (y/n)? y name: alireza number: 517-432-5224 more data (y/n)? n [('alireza', '517-432-5224'), ('pranshu', '517-244-2426'), ('rich', '517-842-5425')]
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Computers and Technology, 25.06.2019 09:50, ccory0626
In any one-minute interval, the number of requests for a popular web page is a poisson random variable with expected value 240 requests. (a) a web server has a capacity of requests per minute. if the number of requests in a one-minute interval is greater than the server is overloaded. use the central limit theorem to estimate the smallest value of for which the probability of overload is less than 0.035. note that your answer must be an integer. also, since this is a discrete random variable, don't forget to use "continuity correction". = 268 (b) now assume that the server's capacity in any one-second interval is ⌊/60⌋, where ⌊⌋ is the largest integer ≤ (this is called the floor function.) for the value of derived in part (a), what is the probability of overload in a one-second interval? this time, don't approximate via the clt, but compute the probability exactly.
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