In order to study the effects of World War II on a certain country's economy, an economist used data from that country's census bureau to produce the following Lorenz curves for the distribution of income in 1935 and 1947. f(x) = x2.9 Lorenz curve for 1935 g(x) = x1. Lorenz curve for 1947 Find the Gini index of income concentration for each Lorenz curve and interpret the results. ..... What is the Gini index for 1935? (Round to three decimal places as needed.)
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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