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1 G.3.e.1) Here is: , Norma c und i st tx, μ, σ] Clear(x, μ, σ]; Normal cumdist[x, μ, σ] You can be sure that Norma lcumdist[x. μ, σ] computes out to the same value no matter what μ and σ are Agre Disagree... Here is: Clear(x, μ, σ]; Norma!cumdist [x, μ, σ] when you put x μ + s ơ, you find that Normalcumdist μ + s σ. μ σ Agre..Disagree.. computes out t the same value no ma te,what and σ are.G.3.e.iii) Here is: Exponent ialcundist[s μ, μ] Clear(x, μ, σ); Exponentialcumdist [x, μ] when you putx s μ, you find that Exponentialcundst[s μ, μ Agre.. Disagree.. computes out to the same value no matter what μ is.L.17) Sum of independent normal random samples Given: X 1 X 2 XIn are independent samples trom a data set X whose cumulative distribution unction is well approximated by Normalcumdistx μ σ with μ 10 and σ 1 Give the standard deviation of k-1

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