The performance on a national standardized aptitude test in a certain professional field is reported in the form of transformed values having a mean of 500 with a standard deviation of 100. The scores are normally distributed. What percentage of the results are between 350 and 650. 2. Out of a 1000 test results how many would we expect to have scored 700 and higher
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!
The performance on a national standardized aptitude test in a certain professional field is reported in the form of transformed values having a mean of 500 with a standard deviation of 100. The scores are
2. Out of a 1000 test results how many would we expect to have scored 700 and higher
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