Sarah S.

asked • 02/21/24

i'm stuck trying to figure out how to do the statistical test for my biology experiment

So I'm trying to see the effect of 2 different types of essential oils (rosemary and ginger) on e.coli. What I did was that I increased the concentrations of the oils and I used the disk diffusion tests and measured the inhibition zones formed. I also had a positive control being an antibiotic so I compare with that too. In addition to that I combined the two oils in 5 different ratios to see if there's a synergistic effect.

I also had 10 trials per concentration for each oil type. So that's 50 trials per type and 100 trials in total.


Question 1 (unrelated to question 2): So if I'm not wrong, I've got 2 independent variables and 1 dependent variable. Do the combination ratios count as a 3rd independent variable?


Question 2: I have watched a ton of YouTube videos on how to do the two-way ANOVA since I've got type and concentration. However, I am incredibly confused due to my very limited knowledge in statistics and do not have much time. I genuinely cannot understand how to carry it out. Also is Excel the right tool?


I don't know how to structure my table for the test either. Here are my results for the individual effect of varying concentrations of each essential oil: enter image description here


1 Expert Answer

By:

Nick D. answered • 02/22/24

Tutor
New to Wyzant

PhD Data Science candidate

Sarah S.

Hello! I understand that my concentrations and the type of oil are independent variables, unlike the trials. I was asking whether the combination ratios I had used for the second part of the experiment where I combined the two oils counts as a 3rd independent variable.
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02/23/24

Nick D.

Combining the oils under difference concentrations would not be a third independent variable because you all ready have concentration as a variable. An example of a third independent variable would be time. If you exposed the e.coli to the oils are various times this would be a third independent variable.
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02/23/24

Nick D.

As for #2: Excel>Data Tab>Data Analytics (top right of page)> choose 2-way ANOVA> select Highlight your dataset> output table will appear. Next, analyze the p-value and F-Score to either accept or reject your null hypothesis
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02/23/24

Nick D.

If the p-value < 0.05 = reject the null hypothesis Also, if the F-score is high and p-value low, you reject the null hypothesis
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02/23/24

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