So I am relatively new to the statistical side of biological data and want to know the best test for my data. The experiment was looking at the concentration of a hormone over time between two treatments with multiple replicates.

something like this:

Treatment A:

Rep 1:

Times: 0, 1, 5 hours

# of samples at each time: 5

Rep 2:

Times: 0, 1, 5 hours

# of samples at each time: 5

Treatment B:

Rep 1:

Times: 0, 1, 5 hours

# of samples at each time: 5

Rep 2:

Times: 0, 1, 5 hours

# of samples at each time: 5

Basically I want to run two test without loosing too much statistical power.

1. If my replicated for each treatment are statistically different?

if not, I will group the samples together

2. If my treatment are statistically different?

I know that I can run an one-way ANOVA to answer question 1 and then run a second one-way ANOVA for question two, however I do not know how much power I will be losing from this process. in my research I have also been pointed at running a mixed ANOVA to encompass both questions, however my samples are not repeating so I am not sure if that would work.

Anyway I would love some advise on different statistical methods that could tackle this data format. Thanks!!!!!!