Boxes of cereal are labeled as containing 14 ounces. One consumer is concerned that the cereal boxes do not weigh 14 oz. and collects a random sample of 12 boxes. Following are the weights, in ounces. Assume that the distribution for the weights for the population are approximately normal. 14.02 13.97 14.11 14.15 13.97 14.05 13.85 14.11 14.12 13.92 14.10 14.02 a. Use the Critical Value method of hypothesis testing to test if this claim is valid for a =0.10 ?
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!
Boxes of cereal are labeled as containing 14 ounces. One consumer is concerned that the cereal boxes do not weigh 14 oz. and collects a random sample of 12 boxes. Following are the weights, in ounces. Assume that the distribution for the weights for the population are approximately normal. 14.02 13.97 14.11 14.15 13.97 14.05 13.85 14.11 14.12 13.92 14.10 14.02 a. Use the Critical Value method of hypothesis testing to test if this claim is valid for a =0.10 ?
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