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Group0 <- rnorm(10, mean = 10, sd = 8) Group1 <- rnorm(10, mean = 6, sd...

Group0 <- rnorm(10, mean = 10, sd = 8)

Group1 <- rnorm(10, mean = 6, sd = 8)

If we used an LDA with equal prior probabilities (π0 = π1) to classify observations into group 0 or 1, what is the true decision boundary?

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