Why do you think you cannot perform any statistical test that will benefit you when you have 369 measurements?
In many contexts, a single data set consisting of 369 measurements is a lot of data.
What hypothesis about your data are you interested in testing.
You mention the chi-square goodness of fit test, if you have the Statistics Toolbox, you can test the assumption that you are data follow a normal distribution with the sample mean and standard deviation
For example:
x = 10+0.5*randn(369,1);
[h,p] = chi2gof(x,'cdf',{@normcdf,mean(x),std(x)});
The above is assuming that x is your data (369 values). You'll see above that h is equal to 0 which means you cannot reject the null hypothesis that the data follow a normal distribution with mean(x) and std(x)
Now consider:
x = 10+0.5*rand(369,1);
[h,p] = chi2gof(x,'cdf',{@normcdf,mean(x),std(x)});
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