Hello, I am currently conducting research on ovarian tumour cells and the use of chemotherapies with dietary metabolites and their combinations to see if there is a difference in cell viability. I have conducted tumour cell assays and have formed bar graphs with the normalised data so the x axis is the therapy concentration e.g pemetrexed at 100nM, 1um, 10um and 100um and the y axis is cell viability (%). I am unsure on how to analyse this data, I have chosen ordinary one-way ANOVA as the independent groups could be the different treatments with different doses to see if there is a difference in cell viability. I have run the tests and they seemed to have work but I have no actual understanding of the results and I also used one sample t-test, which again has given me results but I am not too sure what is showing. I got told that it isn’t clear what comparisons I am making – a given observation must be significantly changed compared to something else – but what? Any advice on what statistical analysis I should be using?