I am conducting a study on diatom growth after different treatments, an example of my data is attached in image. I proceeded to 9 treatment, to observe their effects I have measured diatom growth (cell densities) after each treatment, the experiences are in triplicates R1 R2 R3. The cell densities were measured in a determined time (day) from 0 to 16 days. Now, I would like to perform a Tukey's test to compare the growth and densities among the different treatments.
Could anyone kindly guide me on how to conduct a Tukey's test to determine significant differences in diatom growth among the treatments? Additionally, if you could provide any insights on the relevant statistical assumptions and best practices for interpreting the results, it would be greatly appreciated.
Looking forward to your valuable suggestions!
Hi,
first of all perform an ANOVA to se if there are any significant difference among your dataset. To do this you require the raw data, and not only the average values of you variable. You can do this easly also with basic microsoft Excel.
After you can conduct a post-hoc like Tukey to understand the "grouping" of the data.
To conduct a post-hoc analysis you require a statistical software, like XLstat, SPSS, minitab and so on. Every software have their own procedure to follow, i suggest to learn from Youtube tutorial videos for each specific software.
Thank you for your answer !. I found Prisma software on which I performed an ANOVA with Tukey's test. However, I am not very convinced by my result. Various options were offered, and the one that matches the best with my data is to compare the density for each treatment per day. That being said, the result shows a very extensive comparison, as I have 9 treatments and a count over 16 days. According to the journal, I need to denote significant differences with letters. Prism does not do this automatically, so I did it manually, resulting in a very large with a lot of letters table. What do you think of this result? Is there another way to present this result?
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