How can I determine the mean value every 10 data points and then calculate the standard deviation of the mean values (150)?

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Here is an example of the data.

Answer 1

[Wayne King]

Suppose A is a column vector 1500x1

A = randn(1500,1);
% first reshape into columns with 10 rows
A = reshape(A,10,150);
% take the means over the columns 
meanz = mean(A);
% now get the standard deviation of the means
std(meanz)

If A is a row vector, you can first transpose and then perform the above.

A = A';

[Kathy]

Thank you. That's exactly what I was looking for. Was thinking I would need to devise a for loop.

Kathy

Answer 2

[Roger Stafford]

I'll put it in words. Rearrange the data using 'reshape' and perhaps transpose so that the groups of ten are in columns (or else in rows) and take the mean of the columns (or rows). This leaves you with a vector of mean values. Then use 'std' on that.