Hi. I just have a quick question about which statistical test I should use.
Say my friend and I go counting the number of bikes that pass by in a busy road each day (mon-fri) for a month (so 20 data entry) between the same hours in the morning, say 7am-8am
We both stand on the same street but approximately 200 metres apart. This 200 metres a part, has no no roads or path that will led to different paths. It is just two roads. However, my friend and I so happen to have continuously different counts (because there are so many bikes and we may miss some along the way).
So I am wondering, what kind of statistical test can I use to test whether the counts between my friend and I agree with each other?
I was thinking of using a two-sample paired t-test as we both have the same number of data entries and treating each day as like a different 'subject' and testing the before and after scenarios of the count.
Or should I be using a two-sample independent t-test?