Find the probability that the number of items scanned incorrectly is between 16 and 20 , inclusive, from the next 5100 items scanned. *Kindly explain the procedure in Excel for this* A) The probability is (Round to four decimal places as needed.) 2. Find the expected number of items incorrectly from the next 5100 items B) The probability is
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
Radio frequency identification (RFID) is an electronic scanning technology that can be used to identify items in a number of ways. One advantage of RFID is that it can eliminate the need to manually count inventory, which can help improve inventory management. The technology is not infallible, however, and sometimes errors occur when items are scanned. The
1. Find the probability that the number of items scanned incorrectly is between 16 and 20 , inclusive, from the next 5100 items scanned. *Kindly explain the procedure in Excel for this*
A) The probability is
(Round to four decimal places as needed.)
2. Find the expected number of items incorrectly from the next 5100 items
B) The probability is
(Round to four decimal places as needed.)
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