Can someone please help with the method of how to solve this problem...
Question:
Three balls are thrown at random into 5 bowls so that each ball has the same chance of going into any bowl independently of wherever the other 2 balls fall. Determine the probability distribution of the...
If events A and B are in the same sample space:
.
Proove that if P(A I B') > P(A) then P(B I A) < P(B)
(where B' is the Probability of A given not B)
.
Proove that if P(A I B) = P(A) then P(B I A) = P(B)
do we assume independence here so that P(A I B) = [P(A)*P(B)]/ P(B) = P(A)...
Sorry it seems that attachments do not upload:
Here is the Question:
Suppose R = R(q,p) = e^(q+p), where p = p(q) is defined through the equation
q^2*p+p^2*q+qp = 3
Letn r(q) = R(q,p(q)). Use the chain rule to calculate the derivative dr/dq at the point q=1.
Can you please tell...
Ok, this question is a bit tricky, but it is wise to first make certain distinctions.
There are loans available and there are investment projects. People borrow (i.e. take out a loan) to finance their spending now. They invest in a project (with the quality of that project varying over a...
Supply: S=2000*ibar
Demand: Those who enter the loan market
q: the quality of the investment project - this lies on a uniform distribution on scale [1,2]
this is what you can use to determine who enters the market, as for example if i = 0, you know all 2000 people will enter the market...
Can anyone sense a way to solve this. It would be great help to see your reasoning behind your assumptions. As a result of the credit crisis there are many asymetries in the loan market as a reult this set of question have arisen:
Information - take this as true
There are two types of...
Can Someone please tell me how I can interpret the skewness of a distribution using quartiles.
I know that if Q2 – Q1 > Q3 – Q2 : Negative skew and if Q3 – Q2 > Q2 – Q1: Positive Skew and if Q2 –Q1 = Q3 – Q1: Symmetrical data dispersion
What I really need to know is how to use the above to...
Erm Ok, so you are suggesting that considering random variables, the expected value of an unbiased estimator (used in a sample to estimate the true population parameter, such as the unknown mean or variance etc) has an expected value equal to its true population parameter?
So with what you...