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## Main Question or Discussion Point

Hi, physics undergrad here with bad statistics skills!

I'm working on my 3rd year project and I need to do some statistical analysis. First, I'll paint the scene:

We have a number of tables, each of 10,000+ sources taken from the space telescope Herschel. They have had their flux measured at two time intervals ~ 8 hours apart. For each source I had flux1, flux2 and each data point has an error. So my table looks like:

| Flux_1 | Err_1 | Flux_2 | Err_2 |

(lots of data)

I need to run a paired two sample t test (I believe) on this data to see if any sources have significant changes in flux over the 8 hour period.

I've been looking at two sample t tests everywhere and I can't seem to find an example that has errors associated with each value taken.

I was hoping someone could shine some light on the situation that I'm in. And perhaps drop some hints on how I would implement running the tests on each data point. Excel or Python, maybe something easier?

Thanks,

Leon

I'm working on my 3rd year project and I need to do some statistical analysis. First, I'll paint the scene:

We have a number of tables, each of 10,000+ sources taken from the space telescope Herschel. They have had their flux measured at two time intervals ~ 8 hours apart. For each source I had flux1, flux2 and each data point has an error. So my table looks like:

| Flux_1 | Err_1 | Flux_2 | Err_2 |

(lots of data)

I need to run a paired two sample t test (I believe) on this data to see if any sources have significant changes in flux over the 8 hour period.

I've been looking at two sample t tests everywhere and I can't seem to find an example that has errors associated with each value taken.

I was hoping someone could shine some light on the situation that I'm in. And perhaps drop some hints on how I would implement running the tests on each data point. Excel or Python, maybe something easier?

Thanks,

Leon