I believe I need to do an analysis that checks if adding more data results in a significant change in the value; however, I am currently not sure what test I can use to determine this.

Thanks!

- Thread starter Phdstudentz
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- Tags levels out minimum data steady state

I believe I need to do an analysis that checks if adding more data results in a significant change in the value; however, I am currently not sure what test I can use to determine this.

Thanks!

I have a bunch of graphs for data that I have collected in my last experiment. The graphs are usually shaped similar to either exponential curves or upside down exponential curves with noise and they level out over time. I was wondering how I can determine the amount of data that needs to be collected before the graph levels out. I.e. I am looking for the amount of data that should be collected in the future, so that I get a good estimation of the final levelled out value while collecting as little data as possible.

I believe I need to do an analysis that checks if adding more data results in a significant change in the value; however, I am currently not sure what test I can use to determine this.

There are only 15 data points over time for each instance. The levelling out appears to occur around 8 data points for most instances.

Thanks for your comment. I looked into convergence and the limit, but I think this still doesn't solve my problem.

I want to figure out the x-value where more data (more x's) no longer significantly changes the value of y.

The limit will just tell me what final value of y is being approached.

But, again, I don't think it will tell you what you seem to be asking.