Two genes’ expression values follow a bivariate normal
distribution. Let X and Y denote their expression values
respectively. Also assume that X has mean 9 and variance 3; Y has
mean 10 and variance 5; and the covariance between X and Y is
2.
In a trial, 50 independent measurements of the expression values of
the two genes are collected, and denoted as 11 ( , ) XY, …, 50 50 (
, ) XY. We wish to find the probability ( 0.5 ) P X Y , that is,
the probability that the sample mean for the second gene exceeds
the sample mean of the first gene by more than 0.5.
Conduct a Monte Carlo simulation to approximate this probability,
providing a 95% confidence interval for your estimation. Submit
your R script for the Monte Carlo simulation, and a brief summary
of the actual simulation results.
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