Answer to Question #341705 in Statistics and Probability for Soubhagya Ranjan Panda

Question #341705



1. "X_1,\\ldots,X_n \\sim iid \\sim N(0,1)." Define "\\bar{X}" (sample mean) and "S^2=\\sum_1^n X_i^2" .


a) Show that "\\bar{X}" and "S^2" are dependent.


b) Derive the conditional distribution of "\\bar{X}" , given "S^2".


c) Determine c(u) such that P["\\bar{X}" > c(u)|u] =alpha, where "\\text{u}=S^2".


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