Greetings, I conducted an indoor rooting test involving 9 treatments (including 1 control). These tests were repeated by using 2 clones (siblings) and replicated across 2 flats with the plant trays (3" x 3") in random locations. Each flat contained 18 test trays with 2 sibling clones each having 9 treatments. Each tray contained 3 cuttings. I scored the rooting results for each tray into 3 categories: The total number of all roots that are longer than 1 mm (abv. "Roots>1mm"). The percent of cuttings with root lengths longer than 20 mm (abv. "%Roots>20mm). The percent of cuttings that have any roots > 1 mm (abv. "%Rooted). Both flats contain the same tests so in theory, both should have similar results for each clone/treatment. I need to apply a statistical test that will compare the Flat 1 and Flat 2 values for the SAME clones and provide a P value that the 2 results might be the same. I am not even sure what P value I should be testing against (.95 ?). Below is the data for the 1 control clone: Code: TreatmentName - Flat1 - Flat2 %Roots>20mm 0.66 0.66 %Rooted 1 1 Roots>1mm 31 19 Note that the only difference is that the Flat2 samples had 12 less roots than the Flat1 samples. What statistical test would be appropriate to compare these 2 sets of results? Thanks in advance!
