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The Random Variable X Has the Cumulative Distribution Function F(x)whose

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The random variable X has the cumulative distribution function F(x)whose value or derivative The random variable X has the cumulative distribution function F(x)whose value or derivative is shown below for various values of x.F(0)= 0, = ,for 0 < x < 2,P(X = 2)= ,so F(2)= , = ,for 2 < x < 3,F(3)= 1.Generate four random observations from this probability distribution by using the following uniform random numbers: .Also calculate the sample average and compare it with the true mean for this probability distribution. is shown below for various values of x.F(0)= 0, The random variable X has the cumulative distribution function F(x)whose value or derivative is shown below for various values of x.F(0)= 0, = ,for 0 < x < 2,P(X = 2)= ,so F(2)= , = ,for 2 < x < 3,F(3)= 1.Generate four random observations from this probability distribution by using the following uniform random numbers: .Also calculate the sample average and compare it with the true mean for this probability distribution. = The random variable X has the cumulative distribution function F(x)whose value or derivative is shown below for various values of x.F(0)= 0, = ,for 0 < x < 2,P(X = 2)= ,so F(2)= , = ,for 2 < x < 3,F(3)= 1.Generate four random observations from this probability distribution by using the following uniform random numbers: .Also calculate the sample average and compare it with the true mean for this probability distribution. ,for 0 < x < 2,P(X = 2)= The random variable X has the cumulative distribution function F(x)whose value or derivative is shown below for various values of x.F(0)= 0, = ,for 0 < x < 2,P(X = 2)= ,so F(2)= , = ,for 2 < x < 3,F(3)= 1.Generate four random observations from this probability distribution by using the following uniform random numbers: .Also calculate the sample average and compare it with the true mean for this probability distribution. ,so F(2)= The random variable X has the cumulative distribution function F(x)whose value or derivative is shown below for various values of x.F(0)= 0, = ,for 0 < x < 2,P(X = 2)= ,so F(2)= , = ,for 2 < x < 3,F(3)= 1.Generate four random observations from this probability distribution by using the following uniform random numbers: .Also calculate the sample average and compare it with the true mean for this probability distribution. , The random variable X has the cumulative distribution function F(x)whose value or derivative is shown below for various values of x.F(0)= 0, = ,for 0 < x < 2,P(X = 2)= ,so F(2)= , = ,for 2 < x < 3,F(3)= 1.Generate four random observations from this probability distribution by using the following uniform random numbers: .Also calculate the sample average and compare it with the true mean for this probability distribution. = The random variable X has the cumulative distribution function F(x)whose value or derivative is shown below for various values of x.F(0)= 0, = ,for 0 < x < 2,P(X = 2)= ,so F(2)= , = ,for 2 < x < 3,F(3)= 1.Generate four random observations from this probability distribution by using the following uniform random numbers: .Also calculate the sample average and compare it with the true mean for this probability distribution. ,for 2 < x < 3,F(3)= 1.Generate four random observations from this probability distribution by using the following uniform random numbers: The random variable X has the cumulative distribution function F(x)whose value or derivative is shown below for various values of x.F(0)= 0, = ,for 0 < x < 2,P(X = 2)= ,so F(2)= , = ,for 2 < x < 3,F(3)= 1.Generate four random observations from this probability distribution by using the following uniform random numbers: .Also calculate the sample average and compare it with the true mean for this probability distribution. .Also calculate the sample average and compare it with the true mean The random variable X has the cumulative distribution function F(x)whose value or derivative is shown below for various values of x.F(0)= 0, = ,for 0 < x < 2,P(X = 2)= ,so F(2)= , = ,for 2 < x < 3,F(3)= 1.Generate four random observations from this probability distribution by using the following uniform random numbers: .Also calculate the sample average and compare it with the true mean for this probability distribution. for this probability distribution.

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