How can I randomize target positions in a Gaussian distribution?

Z=randn(10,1)*40+80;
isOK=all(iswithin(Z,0,160));
while ~isOK
  % regenerate code here depending on what your definition of "regeneration" is
  Z=randn(10,1)*40+80;
  isOK=all(iswithin(Z,0,160));
end  

The above regenerates a whole new sample; with these parameters the frequency of failing the test is only 5%. If the number of trials gets to be extremely large this might be an observable slowdown, but for simplicity it's hard to beat other than just truncating the values outside the range. Oh... iswithin is my "syntactic sugar" routine

function flg=iswithin(x,lo,hi)
% returns T for values within range of input
% SYNTAX:
%  [log] = iswithin(x,lo,hi)
%      returns T for x between lo and hi values, inclusive

  flg= (x>=lo) & (x<=hi);
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