# Check if data follows uniform continuous distribution?

So we have a dataset with birdspecies (factor, 4 levels) and activity time (in minutes after sunrise). We want to know if the birds have a heterogeneous use of time. So do they come into our garden at all times of the morning (after sunrise-12pm), or do they have certain peaks. Our histogram shows for some birds that they are active around 1-2 hours after sunrise, but others do not. Is there an actual easy test to check this? The Kolmogorov-Smirnov was suggested, but in a one-sample test, it checks our distribution against a normal distribution. But is there a uniform continuous distribution to check against?

• Perhaps you mean a uniform distribution? The normal distribution is also continuous (i.e. opposite of discrete). Unrelatedly, could you show those histograms? Your question is clear without it, but it sounds interesting :)
– mkt
Jul 13, 2017 at 12:06
• You could check against a uniform (instead of normal) distribution!? Jul 13, 2017 at 12:07
• yes, sorry, I meant a uniform distribution Jul 13, 2017 at 12:07
• I'm not sure I understand what you're trying to achieve. A normal distribution is a type of continuous distribution. Can you specify what the goal of your research question is? Are you trying to compare the 4 different bird species or are you wanting to make statements about each species seperately?
– Tami
Jul 13, 2017 at 12:09
• we want to know per species of bird if they have an equal distribution and come at all times during the morning or if they have activity peaks where they appear more often at certain times Jul 13, 2017 at 12:11