When the weight of a parcel of oranges was measured, it was seen that the average 200 grams and standard deviation of 25 grams fit the normal distribution. 15 out of 500 oranges in this package were under a certain weight and could not pass the test. How many grams or less did oranges fail the test? A) 152 gr B) 149.5 gr C) 151 gr D) 150.5 gr E) 153 gr
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!
21 - When the weight of a parcel of oranges was measured, it was seen that the average 200 grams and standard deviation of 25 grams fit the
A) 152 gr
B) 149.5 gr
C) 151 gr
D) 150.5 gr
E) 153 gr
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