Hi I am really struggling with the statistical element of my research.
I need to statistically analyse the significance of the use of an inhibitor on bacteria growth.
I have taken OD reading at 600nm every hour for 10 hours with a control of my bacteria in LB and then again but with an inhibitor in LB.
I have triplicate measures of each (spanning 10 hours, 30 measurements for with inhibitor and 30 without) and have calculated a mean for each hour and then plotted a graph with the mean values. with OD on the Y axis and hours in the X axis.
The data of course if not normally distributed and shows a usual bacterial growth curve.
Because of this I was thinking of using an ANOVA test but I am really struggling as I am not sure.
I have kept the drug concentration the same in the culture so that has not changed, but I have measured the growth over the 10 hours.
So the only things that has changed is the growth in an inhibitor and without and time .
ANY HELP ON THIS WOULD BE GREATLY APPRECIATED AS IT IS A RACE AGAINST TIME :)
Fit an exponential or a logistic model to the growth curves to get the relevant groth parameters (e.g. the (initial) growth rate or the EC50). You can then compare these values between the groups (with and without inhibitior).
Consider using Python and R libraries for statistical analysis. They have embedded many statistical methods and approaches.
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