The data in Table $9$E$.3$ are temperature readings from a chemical process in $C,$ taken every two minutes.

$($Read the observations down, from left.$)$ The target value for the mean is ${}_0=950.$

$($a$)$ Estimate the process standard deviation. $($Excel Sheet$4$ named as StDev$)$

$($b$)$ Set up and apply a tabular CUSUM for this process, using standardized values $h=5$ and $k=\frac{1}{2}.$

Interpret this chart. Provides UCL and LCL$($Excel Sheet $1$ named as CUSUM$)$

$($c$)$ Construct an EWMA chart using $L=2\mathrm{.}7$ and $=0\mathrm{.}1.$ Given the individual UCL and LCL for each

observation. $($Excel Sheet $2$ named as EWMA$)$

$($d$)$ Provide a Moving A$|$verage chart with w$=5.$ Provides UCL and LCL for each observation. $($Excel

Sheet $3$ named as MA$)$ The data in Table $9$E$.3$ are temperature readings from a chemical process in $\backslash$deg C$,$ taken every two minutes.

$($Read the observations down, from left.$)$ The target value for the mean is $\backslash$mu $\_(0)=950.$

$($a$)$ Estimate the process standard deviation. $($Excel Sheet$4$ named as StDev$)$

$($b$)$ Set up and apply a tabular CUSUM for this process, using standardized values h$=5$ and k$=(1)/(2).$

Interpret this chart. Provides UCL and LCL$($Excel Sheet $1$ named as CUSUM$)$

$($c$)$ Construct an EWMA chart using L$=2\mathrm{.}7$ and $\backslash$lambda $=0\mathrm{.}1.$ Given the individual UCL and LCL for each

observation. $($Excel Sheet $2$ named as EWMA$)$

$($d$)$ Provide a Moving A$|$verage chart with w$=5.$ Provides UCL and LCL for each observation. $($Excel

Sheet $3$ named as MA$)\backslash$table$[[953,966,949,937,959,948,958,952],[945,973,941,946,939,937,955,931],[972,955,966,954,948,955,947,928],[945,950,966,935,958,927,941,937],[975,948,934,941,963,940,938,950],[970,957,937,933,973,962,945,970],[959,940,946,960,949,963,963,933],[973,933,952,968,942,943,967,960],[940,965,935,959,965,950,969,934],[936,973,941,956,962,938,981,927]]$