% EXAMPLE3.m

% Learning about a normal mean

% Assesses normal prior density [Albert (1996), p. 116].



% Learning about a N(M, s2) population with s2 known.

% Assessing normal prior density for M.



perc1=[.5 174];  % One believes that P(M <= 174) = .5

perc2=[.9 180];  % One believes that P(M <= 180) = .9



par=normal_s(perc1,perc2)  % finds mean and standard deviation

                           % of matching normal density



