When we defined jointly independent random variables, we said that it is important to verify **all** the inequalities. The example below shows that having just the "product rule" does not suffice.

Though the example is not shown but the variables may independent. This can be put in other way that "if the two variables are correlated, then they are not independent" that is, they may be correlated and not independent

Step-by-step explanation:

mr. flanders’ class sold 47 doughnuts and   mr. rodriquez’s class sold 38 cartons of milk

step-by-step explanation:

let x be the number of doughnuts sold by mr. flanders’ class and y be the number of cartons sold by mr. rodriquez’s class.

1. together, the classes sold 85 items, then

x+y=85.

2. both classes earn earned $104.49 for their school. if doughnuts were sold for $1.35 each, then x doughnuts costed $1.35x. if cartons of milk were sold for $1.08 each, then y cartons costed $1.08y. hence,

1.35x+1.08y=104.49.

3. solve the system of two equations:

answer:

your answer is: c. 196 7/8 in^3.