Question $2(1$ point$)$ListenInformationO$1$What was the min of the maX regrets?Question $3(1$ point$)$EListenV SavedOMinimal $($$$10,00$o$)$OMassive $($$$1$m$)$OModerate $($$$100$th$)$Significant $($$$500$th$)$Question $4(1$ point$)$LstenSavedD$15\mathrm{.}5$ListenHow much would you allocate to promote our new headsets? A massive campaignfor a poorly$-$rated product would be a disaster. $75\%$ of the members of our focusgroup rated our new headsets at least $4$ out of $5,$ which is good. We are exploring $4$campaign alternatives, whose estimated net profits depend on how actualconsumers ultimately rate our headsets, see table below.Based on the previous table, what is the optimal decision using Bayes' Rule$($Expected Value$)?$Massive $($$$1$m$)$Significant $($$$500$th$)$Moderate $($$$100$th$)$Minimal $($$$10,000)4+$ Rating $<mn\; id="EditorElement\_1770315">4</mn>$ Rating$0\mathrm{.}75$What is the expected value for the optimal decision?Massive $($$$1$m$)$OMinimal $($$$10,000)$OModerate $($$$100$th$)$Significant $($$$50$Oth$)201918170\mathrm{.}251113$What is the optimal decision using Minimax?$1516$MOderate $(51$O$0$th$)$OSignificant $($$$500$th$)$Question $4(1$ point$)$ListenWhat is the expected value for the optimal decision?O$15\mathrm{.}5$O$16\mathrm{.}75$O$17\mathrm{.}75$O$17\mathrm{.}25$Question $5(1$ point$)$EistenSame case,Massive $($$$1$m$)$Significant $($$$500$th$)$Moderate $($$$1$OObl$4+$ Rating $<mn\; id="EditorElement\_1770746">4</mn>$ Rating$0\mathrm{.}7520190\mathrm{.}251113$