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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.

Definitions:

National Parks

Protected areas established by a government to preserve natural landscapes and wildlife for public enjoyment and conservation.

Deforestation

The removal of trees and forests, typically for agriculture or urban development.

Biodiversity

The variety of life in the world or in a particular habitat or ecosystem, indicating the health and resilience of biological systems.

Water Supplies

The availability of water resources to meet the consumption needs of individuals, communities, and ecosystems.

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