44th SPSS Practical Workshop of Jingding
Kunming, Yunnan, China
guide (e.g. book or other printed material)
There are three types of statistics: primitive, expressive and standard. The textbooks talk about the standard type, so at a glance you know what statistical analysis to use? But the reality of the data is so varied that there are definitely times when you are at a loss for words!
Let's try it if you don't believe me!
Here's the case.
We know that plant seeds are subject to loss due to factors such as pests and diseases during preservation, and some agricultural research institute developed a certain drug A to soak the seeds to prevent damage from pests and diseases; however, it was worried about the effect of the drug soaking itself on the germination rate of the seeds, so an experiment was done.
Drug A was set at three different concentrations low, medium and high to soak the seeds, 60 seeds were soaked, 60 seeds of each concentration were divided into three flat dishes and 20 seeds were put into each dish, after completion the seeds were incubated, observe the effect of the three different concentration treatments on the germination rate of the seeds?
Words are too boring, look at the schematic
Some say (A)
Some say the study effect is germination vs. non-germination, an obvious dichotomy yah, chi-square test, must drop!
Let's just combine the three flat dishes, turn the data into the graph below, and compare the difference between the three germination rates of 80%, 92% and 58%!
Some say (B)
This data set is comparing germination rates, and the data should be organized like this! The collated data becomes a comparison of germination rates (%) for three groups of low, medium and high doses, with a sample size of 3 for each of the three groups, as it is 3 replicates, should ANOVA be used yeah?