Organic Grains LLC uses statistical process control to ensure that its health$-$conscious, low$-$fat, multigrain sandwich loaves have the proper weight.

Based on a previously stable and in$-$control process, the control limits of the $\stackrel{}{x}-$ and R$-$charts are:

$UC{L}_{\stackrel{}{x}}=4\mathrm{.}90,LC{L}_{\stackrel{}{x}}=4\mathrm{.}32$

$UC{L}_R=0\mathrm{.}687,LC{L}_R=0$

Over the past few days, they have taken five random samples of four loaves each and have found the following:

$\backslash$table$[[,$Net Weight$],[$Sample$,$Loaf # $1,$Loaf # $2,$Loaf # $3,$Loaf # $4],[1,5\mathrm{.}3,5\mathrm{.}2,5\mathrm{.}1,5\mathrm{.}5],[2,4\mathrm{.}9,4\mathrm{.}9,4\mathrm{.}8,4\mathrm{.}6],[3,4\mathrm{.}0,3\mathrm{.}7,4\mathrm{.}1,4\mathrm{.}0],[4,4\mathrm{.}6,4\mathrm{.}8,4\mathrm{.}6,4\mathrm{.}5],[5,4\mathrm{.}0,4\mathrm{.}1,4\mathrm{.}0,4\mathrm{.}3]]$

Based on the $\stackrel{}{x}-$chart, is one or more samples beyond the control limits$?$

Based on the R$-$chart, is one or more samples beyond the control limits$?$

$(1)T{i}_i$

No

$y$:$00-48$:$57$