The answer is true. A conditional probability is a measure
of the probability of an event given that (by assumption, presumption,
assertion or evidence) another event has occurred. If the event of interest is
A and the event B is known or assumed to have occurred, "the conditional
probability of A given B", or "the probability of A in the condition
B", is usually written as P (A|B). The conditional probability of A given
B is well-defined as the quotient of the probability of the joint of events A
and B, and the probability of B.
Answer:
A - (2a+0)/2 ; (2b+0)/2 = ( a , b )
B - (-2a+0)/2 ; (2b+0)/2 = ( - a, b )
C - (-2a+0)/2 ; ( -2b+0)/2 = ( - a, - b )
D - (2 a+0)/2 ; (-2b+0)/2 = ( a , - b )
Step-by-step explanation:
For this case we have the following difference equation:

Applying separable variables we have:

Integrating both sides we have:

applying exponential to both sides:

For y (1) = 1 we have:

Thus, the particular solution is:

Whose domain is all real.
Answer: y = 0.2 * exp ((3/2) x ^ 2) Domain: all real numbers