Log transformations are used to make right skewed data more Gaussian. I would need to see a plot in order to make a recommendation, since there are other transformations that might be more appropriate for certain distributional shapes.

Thank you so much for the reply Dr. Moffitt.

I have checked the normality of the data by plotting histogram in R studio.

I am sharing the R script along with the plotted histogram and the data for your reference. As seen in the file shared, applying the log transformation made the distribution more negatively skewed than the original data.

I would be very grateful to you if you could provide me some advice on it.

About files attached

1. ELLog_ProsData.csv is the data I used.

2. Process Mean in ELLog_ProsData.csv is the raw data

2. TQLog_Mean3 in ELLog_ProsData.csv is the log transformed data. It was transformed by applying y = log10 (x), where x is the raw data.

3. How should I report the result of t-test and anova performed on log transformed data.

Thank you