The National Sleep Foundation surveyed representative samples of adults in six different countries to ask questions about sleeping habits.t Each person in a representative sample of 250 adults in each of these countries was asked how much sleep they get on a typical work night. For the United States, the sample mean was 391 minutes, and for Mexico, the sample mean was 426 minutes. Suppose that the sample standard deviations were 20 minutes for the U.S. sample and 44 minutes for the Mexico sample. The report concludes that on average, adults in the United States get less sleep on work nights than adults in Mexico. Is this a reasonable conclusion? Support your answer with an appropriate hypothesis test. (Use a = 0.05. Use 4, for Mexico and 42 for the United States.) A USE SALT State the appropriate null and alternative hypotheses. O Ho: H1 - H2 *0 0 - H - H :"H O Ho: H1 - H2 - 0 0 = H - In :0H O Hi H - 42 >0 0 > H - n :°H O Hi H - H2 > 0 O Hoi H1 - H2 > 0 H: H1 - H2 - 0 Find the test statistic and P-value. (Round your test statistic to one decimal place and your P-value to three decimal places.) P-value State the conclusion in the problem context. O We fail to reject Ho. It is reasonable to conclude that on average, adults in the United States get less sleep on work nights than adults in Mexico. We fail to reject Ho. It is not reasonable to conclude that on average, adults in the United States get less sleep on work nights than adults in Mexico. O we reject Ho. It is not reasonable to conclude that on average, adults in the United States get less sleep on work nights than adults in Mexico. We reject Ho. It is reasonable to conclude that on average, adults in the United States get less sleep on work nights than adults in Mexico.
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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