Post by: sasa on October 08, 2013, 09:25:28 pm
Post by: SocialRhubarb on October 08, 2013, 09:28:16 pm
Variance of a binomial distribution is np(1-p).
Additionally, p is a probability so cannot be greater than 1.
Post by: shadows on October 08, 2013, 09:29:25 pm
These formulas are for binomial distributions only
Mean (expected value) = np
Variance = np(1-p)
therefore for sd, you need to square root np(1-p)
then solve simultaneously to get your values of n and p.
haha beaten.. xD
Post by: sasa on October 08, 2013, 09:30:15 pm
Post by: sasa on October 08, 2013, 09:38:13 pm
Grrrr, why would I forget so,etching like that (and I didn't have it in my notes....whoops :/)
Post by: Phy124 on October 08, 2013, 09:41:06 pm
Done and done ;DBetter to learn it now than after the exam ;)
Grrrr, why would I forget so,etching like that (and I didn't have it in my notes....whoops :/)
Post by: sasa on October 08, 2013, 09:50:42 pm
Seriously considering pulling an all-nighter ( I don't recommend it to others) ??? Zzzzzz
Post by: clıppy on October 09, 2013, 03:56:39 pm
Post by: BubbleWrapMan on October 09, 2013, 04:38:01 pm
Just a quick question in terms of notation, do we have to write that B~(mu, var) stuff, or can we just write, mu =, var(B) =?
For a multiple-choice question, you don't have to write anything.
For a written question, I guess it depends how many marks are available, but you should indicate to the examiners that you understand what all the parameters are and such. So yes, you should write out the distributions.
Post by: TrueTears on October 17, 2013, 11:51:40 pm
Just a quick question in terms of notation, do we have to write that B~(mu, var) stuff, or can we just write, mu =, var(B) =?The conventional notation (at least in mathematical statistics and econometrics) is if