plot pdf along with data

Hi,

I have a 1D array generated from Gaussian mixtures and the estimated mean and variance and mixing weight for each component. How can I plot the data along with the pdf curves for each component. I tried the following code but it produces only the curves which do not fit within the range.

X is the 1D array.

    lineStyles={'--b','--g','--r','--c','--m','--y'};
    minVal = min(X);
    maxVal = max(X);
    plotRange = minVal:(maxVal-minVal)/100:maxVal;
    hist(X,plotRange);
    hold on;
    totalProb = zeros(1,length(plotRange));
    for i=1:length(model.m) % no. of components. m is estimated mean and W is the inverse covariance matrix
        probs = normpdf(plotRange, model.m(i),1./exp(model.logW(i)));
        probs = probs./sum(probs);
        finalProbs = model.alpha(i)*length(X)*probs; % alpha is the mixing weight for each component
        plot(plotRange,finalProbs,lineStyles{mod(i,6)+1},'LineWidth',2);
        totalProb = totalProb + finalProbs;
    end
    plot(plotRange, totalProb, '-k','LineWidth',3);