Comparing two sets of data: multiple time points

prime-factor
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I am trying to compare two groups (for statistical significance), a control and a treatment group across more than one time point, for a single variable. For example

Control Treatment
0 sec x x
5 sec x x
10 sec x x
15 sec x x
20 sec x x
30 sec x x

What sort of test can I use to compare these two groups for statistical significance, given the number of time points?
The data was collected every five seconds during a 30 second period.
 
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You haven't given enough information to get good advice. I'll assume you are doing something involving reaction rates or growth rates, since you've made some other posts about growing bacteria.

To do statistics, you must make enough assumptions to compute probabilities. I assume that people have invented probabilistic models for bacteria growth. Let's hope that they've invented one that has some single parameter lambda in it. Then one idea is to look at the probability of getting the observed differences in your two sets of data on the assumption that lambda is the same for both the treatment and control group. I assume you know more about models for bacterial growth rate that I do. If you can state one then perhaps I (or someone else) can make a more specific suggestion.
 
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