Exercise 5 At the moment, the prices of the shares I and Il are e25 and e20, respectively. Let X be the price of share I next month and let Y be the price of share IlI next month. The joint probability density function of X and Y is as follows: h(x, y) 19 20 21 24 0.05 0.10 x 25 0.10 | 0.40 | 0.15 26 0.05 0.15 Table 1: Joint probability density function h(x.y) of X and Y. a) Determine P({X < 25}n{Y > 20}). b) Determine E(X | Y = 20). Without further computation you are allowed to use that E(X) = 25.05, E(Y) = 20.15, Ox = 0.5895 and Oy = 0.6538. c) Determine the correlation coefficient of X and Y. d) Suppose you invest e5000 in these two shares: half of this money, so e2500, is spent on share I and the other e2500 is spent on share II. There are no additional costs involved in this investment. Let U be the value of your invested money next month. Determine E(U).
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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