11.6.13 The table shows the distribution, by age, of a random sample of 3020 moviegoers ages 12-74. If one moviegoer is randomly selected from this population, find the probability, expressed as a simplified fraction, that the moviegoer is not in the 45-64 age range. Age Distribution of Moviegoers Ages Number 12-24 1070 25-44 1080 45-64 700 65-74 170 The probability is __________. (Type an integer or a simplified fraction.)
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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11.6.13 The table shows the distribution, by age, of a random sample of 3020 moviegoers ages 12-74. If one moviegoer is randomly selected from this population, find the |
Age Distribution of Moviegoers
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Ages
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Number
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12-24
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1070
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25-44
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1080
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45-64
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700
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65-74
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170
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