Hello, any body.
I have data on pesticides effects on Trichogramma chilonis which is a beneficial insect in agroecosystem. The experimentation was completely randomized design. I tried myself but is not succeeded to properly analyze the same as the data is not normal and need normalization before analysis. type I error is common. I have assessed both emergence of parasitoid form the host eggs treated while also evaluated parasitism by the parasitoid. please help me in the data analysis and send me your email address so that I can urgently send you the data for analysis. Your effort will be highly acknowledged. thank you
best regards
Dr Muhammad Ashraf Khan
Dear Dr.Khan,
Your theme of research is already well researched.
You may also refer to IOBC Working group methodologies in which Prof.Sherif Hassan of BBA-Darmstadt has contributed much.
Regarding ANOVA, you may consider square root transformation if it is numbers dead or angular(arc sine)transformation if it is binomial percentage data.
In case this does not help,please reach out to more experienced statistician or Prof..Hassan himself.
Best wishes
Prof.S.Sithanantham,India ([email protected])
If you use R software for data analysis then it is easy to do. For data normalization you can do log+1 transformation or square root transformation. If these bot does not work then go for Johnson transformation in R. After normalization you may consider ANOVA according to your data.
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