The graph illustrates a normal distribution for the prices paid for a particular model of HD television. The mean price paid is $1800 and the standard deviation is $65. Use the Empirical rule for this question. Do not use the calculator or tables. What is the approximate percentage of buyers who paid less than $1605? % What is the approximate percentage of buyers who paid between $1670 and $1800
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 graph illustrates a
What is the approximate percentage of buyers who paid less than $1605?
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What is the approximate percentage of buyers who paid between $1670 and $1800?
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What is the approximate percentage of buyers who paid between $1735 and $1800?
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What is the approximate percentage of buyers who paid more than $1930?
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What is the approximate percentage of buyers who paid between $1735 and $1865?
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What is the approximate percentage of buyers who paid between $1605 and $1800?
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