Bob's Fly catalog collected forecasts, sales, and demand data for $20$ items in one category from its previous catalog. The data is provided below in the table.

$\backslash$table$[[,$Forecast,Sales,Demand,A$/$F$],[,100,26,26,0\mathrm{.}26],[,500,135,135,0\mathrm{.}27],[,150,51,51,0\mathrm{.}34],[,210,75,75,0\mathrm{.}36],[,360,243,243,0\mathrm{.}68],[,450,329,329,0\mathrm{.}73],[,190,150,150,0\mathrm{.}79],[,280,224,224,0\mathrm{.}80],[,120,104,104,0\mathrm{.}87],[,70,64,64,0\mathrm{.}91],[,50,46,46,0\mathrm{.}92],[,520,520,520,1\mathrm{.}00],[,230,240,240,1\mathrm{.}04],[$Total$,390,429,433,1\mathrm{.}11],[$Average$,250,275,287,1\mathrm{.}15],[$Standard Deviation,$170,187,204,1\mathrm{.}20],[,420,462,517,1\mathrm{.}23],[,480,528,670,1\mathrm{.}40],[,340,374,506,1\mathrm{.}49],[,310,341,569,1\mathrm{.}84],[,5590,4803,5393,18\mathrm{.}38],[,280,240,270,0\mathrm{.}92],[,148,162,201,0\mathrm{.}42],[,,,,]]$

For example, their forecast for the first item in the table was $100$ units, but it unfortunately only sold $26$ units. However, with the last item listed, thev sold $341$ units but could have sold $569$ units if thev had ordered enough inventorv. For the next catalog they have an item for which they forecast demand to be $410$ units. Suppose they will use that forecast along with the data in the above table to choose a normal distribution to model demand for this product. What standard deviation should they choose keep the answer as an integer.