In a certain population, the number of hours per week that young people between 16 and 24 years of age watch television has a normal distribution with an unknown mean and a population standard deviation of 6 hours. A random sample of 81 of these young people reflected an average of 12 hours per week watching television. Calculate the 98% confidence interval for the mean number of hours that the population of these young people uses to watch television per week.
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!
In a certain population, the number of hours per week that young people between 16 and 24 years of age watch television has a
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