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(1) The following table gives the joint probability distribution p (X, Y) of random variables X and Y.
Determine the following:
(a) Do the entries of the table satisfy the conditions for a bivariate density function?
(b) The marginal (or unconditional) probability distributions of X and Y. [Note: These will be a collection of probabilities: the probabilities associated with the 3 values of X and the probabilities associated with the 4 values of Y].
(c) The conditional probability distributions p (X|Y = 3) and p (Y|X = 1). (Note: The first conditional probability distribution is the collection of three numbers, Pr(X = 1jY = 3); Pr(X = 2|Y = 3); Pr(X = 3|Y = 3).)
On dividing the polynomial 4x 4 - 5x 3 - 39x 2 - 46x - 2 by the polynomial g(x) the quotient is x 2 - 3x - 5 and the remainder is -5x + 8.Find the polynomial g(x). (Ans:4 x 2 +
It refers to the ratio of the explained variation to the total variation and is utilized to measure the strength of the linear relationship. The stronger the linear relationship th
In this theorem we identify that for a specified differential equation a set of fundamental solutions will exist. Consider the differential equation y′′ + p (t ) y′ + q (t
11-b=34
Continuity : In the last few sections we've been using the term "nice enough" to describe those functions which we could evaluate limits by just evaluating the function at the po
A body is constrained to move in a path y = 1+ x^2 and its motion is resisted by friction. The co-efficient of friction is 0.3. The body is acted on by a force F directed towards t
r=asin3x
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