Predicting Absenteeism: Comparing Binomial Distribution in Two Classes

Join the discussion
Ask a follow-up here, or get your own question answered by working scientists, mathematicians and engineers — people, not an autocomplete.
Real named experts · corrections over time · the nuance an AI answer skips
2 replies · 2K views
aaaa202
Messages
1,144
Reaction score
2

Homework Statement


In a class with 20 and one with 10 students each student has a probability of 0.3 to not show up on a particular day. On a given day, which class is most likely to have the highest ratio of absent students? This was in my exam, unfortunately I did not know how to do it.

Homework Equations


The probability that n students are absent on a given day in one class is binomially distributed.
I heard some say that since the relative standard deviation goes like 1/√N the class with fewer pupils is most likely to have most absent, but I am not sure about this.

The Attempt at a Solution


You could do a whole lot of counting, but I don't think that's the point. Besides it would be a very tedious proces. I did it with a class of 1 and 2 students and counting even then took time.
 
Physics news on Phys.org
hi aaaa202! :smile:

(i haven't actually tried this :redface:, but …)

i think i'd calculate Pk, the probability that exactly k students out of 30 are absent

and then for each k the probability Qk that less than one third of k from 30 come from the 10

(and then multiply and add)
 
aaaa202 said:

Homework Statement


In a class with 20 and one with 10 students each student has a probability of 0.3 to not show up on a particular day. On a given day, which class is most likely to have the highest ratio of absent students? This was in my exam, unfortunately I did not know how to do it.

Let N be the number of students absent from the large class, and M the number of students absent from the small class. The ratio of absent students will be larger for the large class if N > 2M, equal if N = 2M, and smaller if N < 2M. So you need to work out the probabilities of those three events.