So I have a question, these statistics lessons have been such a long time that I'm not sure how to calculate the following:
Say that there is a new disease, and I have a test that is 100% reliable. I have tested 100 people, and have found that 3 people got the disease.
So from now on this is...
Small additional explanation in another example:
Let's change it to medicins: You have a Person (=Variable School) with 3 different tests (=variable Test_Method) he/she is tested for blood sugar before taking the medicine that gives a score for every different test (= variable...
I have a problem in calculating sample size. I did do a small pilot experiment, so this is some sample data with the same structure:
df <- data.frame(ID = c(1,2,3,4,5,6,7,8,9),
School = c("A","A","A","B","B","B","C","C","C"),
I have some plant data, which contains several plant groups. Within the plant groups there are different plant sizes (devided in groups). For each plant I noted whether it was infected before and after the treatment:
data = data.plant
$ Group.nr: Factor w/15...
I have an overdispersion problem in my model.. I have the following data:
y= succes/fail (%)
x= Var1 : Temperature data
m1<-glm(cbind(succes,fail)~Var1, data=data, family = binomial(logit))
glm(formula = cbind(succes, fail) ~ Var1, family = binomial(logit),
data = data)...
I'm new to statistics but I am getting really stuck with my data so I hope someone could help me to choose the best statistical test. I have some test (dummy) data. I have data from 64 different hospitals, for 5 different countries countries, over 5 different years. In all of the...