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R codeing simulation

(2) For n-20, simulate a random sample of size n from N(μ, 22), where μ i. Note that we just use μ = 1 to generate the randomFor n = 20, simulate a random sample of size n from N(µ, 2 2 ), where µ = 1. Note that we just use µ = 1 to generate the random sample. In the problem below, µ is an unknown parameter. Plot in different figures: (a) the likelihood function of µ, (b) the log likelihood function of µ. Mark in both plots the maximum likelihood estimate of µ from the generated random sample

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3 0 fonti in 1:29 A24 retumtif) b) functon(x) S 0 for (i in 20 A24 return lolt») Cum/e ext 11.908823, 2961,**.. Col. bue)L(mu) 0.0e+00 5.0e-23 1.0e-22 1.5e-22 2.0e-22 2.5e-22 2LnL(mu)) -250 -200 -150 -100 -50

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