At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil impedit quo minus id quod maxime placeat facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.
I will help :) What's the problem
Choose a row and column and compare P(A | B) with P(B | A). Explain what each probability means in the context of the situation and data you collected.:
Alright do you know how to find the probability of this? Or is that what you need help with?
I'm just kinda lost on what column to choose.
And where to go from there.
Choose any one
Okay, how about Nikon professional photographers to Canon professional photographers?
One second please :)
It's fine m8 :)
I'm just refreshing my memory on probability lol
Well you chose the Professional column right?
Sorry mate I thought I could do it but I forgot everything about probability :/
Would you like help with this?
you want to compare P(A|B) and P(B|A) First lets define A and B
Let A = professional B = Nikon brand Once you define A and B, then it forces the complements to be: A' = non professional B' = the other brand Canon
Okay got it. So how would I label that with P(A | B) and P(B | A)?
P(A|B) means the probability of event A given that you know event B has already occured. On the table this means we only look at event B's row or column
Okay, so P(8|12)?
P( A|B) = P( professional | Nikon brand )
Oh so I don't need to put any numbers in?
The given part means that we only look in the row 'Nikon'
Oh okay! So P(Profesional | Nikon) and P(Nikon | Profesional)?
P( A|B) = P( professional | Nikon brand ) we look only in the Nikon row. http://prntscr.com/7kwtse therefore P(A|B) = 8/10
the `|` symbol means 'given' .
OHH I understand!
And then vise versa for P(B | A)?
Okay, what about P(A∩B) with P(A∪B)?
P( B|A) = P( Nikon brand | Professional ) http://prntscr.com/7kwury 8/12
Got it! What about my question above?
Okay, what about P(A∩B) = 8/20 P(A∪B) = (8 + 2 + 4) / 20
little more detail here
P(A∩B) : probability of professional `and` Nikon http://prntscr.com/7kwx9w = 8/20 P(A∪B) : probiablity of professional `or` Nikon http://prntscr.com/7kwxo7 = (8 + 2 + 4) / 20
You can think think of it in terms of intersection of row and column P(A∩B) http://prntscr.com/7kx0gv
Ohh okay! So I said... Compare P(A∩B) with P(A∪B), and explain what each probability means in the context of the situation and data you collected.: P(A∩B) = 8/20 (probability of professional and Nikon). Here, were only looking at the eight professional Nikon photographers. P(A∪B) = (8 + 2 + 4) / 20 (probability of professional or Nikon). Here, we’re using data from the professional column of Canon and Nikon plus Nikon’s two non-professionals.
Looks good :)
Okay great! Thank you so much! Only three more homework assignments till I graduate!
A∩B is also called `A intersect B` or `A & B ` A∪B is called `A union B` or `A or B `
Good luck :)
Alright, it's in my notes now. Thank you!