When the phase-neutral voltage value of the consumers fed from a transformer is measured from the vault point (you can assume the entry point to the residence), the average 220V is measured and the standard deviation is calculated as 4V. What is the least probability that the voltage of a randomly selected consumer is between 202V and 232V? 0100555 557047944 14/25 A 0100555 B 01005s5- 9870 O 3/4 g160100555- 98704794 15/16 0100555- 9870 g160100555- 98704794 8/9 0100555 98704 то 12/13 g160100555 98704794 160100555 987047944 g160 100555-87047944 a16010055598704794 010055596704 0100555- 98704 g16010055587047944 g160100555-98704794 a160 100555987047944 0160100555-98704794 g1601005s587047944 g160100555 987047944
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!
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