It is possible to score higher than 16001600 on the combined mathematics and reading portions of the SAT, but scores 16001600 and above are reported as 1600.1600. Suppose the distribution of SAT scores (combining mathematics and reading) was approximately Normal with mean of 1011 and standard deviation of 214.214. What proportion of SAT scores for the combined portions were reported as 1600?1600? That is, what proportion of SAT scores were actually higher than 1600?1600? (Enter an answer rounded to four decimal places.
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!
It is possible to score higher than 16001600 on the combined mathematics and reading portions of the SAT, but scores 16001600 and above are reported as 1600.1600. Suppose the distribution of SAT scores (combining mathematics and reading) was approximately Normal with mean of 1011 and standard deviation of 214.214.
What proportion of SAT scores for the combined portions were reported as 1600?1600? That is, what proportion of SAT scores were actually higher than 1600?1600? (Enter an answer rounded to four decimal places.)
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