From 2007 to 2012, there was a substantial increase in obesity rates in the United States. The following information comes from an report on obesity: Results from a survey in 2007-2008, using measured heights and weights, indicate that an estimated 34.9% of U.S. adults aged 20 years and over are overweight, 32.4% are obese, and 8.7% are extremely obese. Use the information in the paragraph above to answer the following question: Use the fact that 32 out of 100 adults were obese to calculate how many of the 210 million American adults aged 20 years and older in 2007-2008 were obese. Round to the nearest million adults.
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!
From 2007 to 2012, there was a substantial increase in obesity rates in the United States. The following information comes from an report on obesity:
Results from a survey in 2007-2008, using measured heights and weights, indicate that an estimated 34.9% of U.S. adults aged 20 years and over are overweight, 32.4% are obese, and 8.7% are extremely obese.
Use the information in the paragraph above to answer the following question:
Percentage of obese
Number of people
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