Most experimental statistics requires a study design that determines what kind of data and in what order it is collected to answer the question at hand.

I have said it a million times: A random pile of data is just that

- no amount of statistical analysis can save a flawed study design. You must first determine what question you are trying to answer, then what study design (experimental structure) will answer that question. Then run the experiment and collect the data. Then plot the raw data. then you can apply the appropriate statistical analysis.

I am not trying to be rude or insulting just blunt: you seem to be substituting statistical software for statistical analysis. You say you are new to statistics. what training have you actually had? was it in statistics or how to use statistical software? Hint: who was the teacher, a statistics teacher or a statistical software instructor?

Think about the requirements for ANOVA. I will give you a hint: the data you have does not meet the requirements for a real ANOVA analysis that can determine if the operator matters. First of all operator to operator can only be determined once good repeatability has been established. repeatability is completely lacking from your study. (a nested design can help with this but not after the fact of random data collection)

a few quotes that apply here:

“The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data.” - John Tukey

“It must be emphasized that it is the design techniques that are of primary importance to the troubleshooter, rather than the strictly statistical methodology. Too many people have the attitude that statistical analysis is merely a refined method of arriving at conclusions and that statistics will somehow compensate for a shoddy experimental design.” - Leonard Seder, “A New Science of Troubleshooting”,

*Industrial and Engineering Chemistry*, Vol. 43 No.9 pp. 2053-2059

“To call in the statistician after the experiment is done may be no more than asking him to perform a postmortem examination: he may be able to say what the experiment died of.” - R. A. Fisher

The manipulation of statistical formulas is no substitute for knowing what one is doing. - Hubert M. Blalock, Jr., Social Statistics