Use the 68-95-99.7 rule Draw a normal curve and plot the numbers on the curve The playing life of a sunshine radio is normally distributed with a mean of 500 hours and a standard deviation of 70 hours. What percent of the radios will last from 500-570 hours: What percent of radios will last less than 500 hours? What percent of radios will play between 570 and 640 hours?
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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The playing life of a sunshine radio is
What percent of the radios will last from 500-570 hours:
What percent of radios will last less than 500 hours?
What percent of radios will play between 570 and 640 hours?
what percents of radios will last less than 360 hours?
what percent of radios will play between 290 and 710 hours?
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