two tails, then P(A$\cup$B) is:
When a fair coin is tossed three times, each toss has two equally likely outcomes: Heads (H) or Tails (T). The total number of possible outcomes is $2^3 = 8$. We can list all possible outcomes (the sample space, S):
Each outcome has a probability of $\frac{1}{8}$ since the coin is fair.
Event A is defined as getting exactly two heads in three tosses. Let's identify the outcomes from the sample space that satisfy this condition:
There are 3 outcomes in Event A. Therefore, the probability of Event A, denoted as $P(A)$, is:
$P(A) = \frac{\text{Number of outcomes in A}}{\text{Total number of outcomes}} = \frac{3}{8}$
Event B is defined as getting at most two tails. This means getting zero tails, one tail, or two tails. Let's identify the outcomes:
The outcomes in Event B are {HHH, HHT, HTH, THH, HTT, THT, TTH}. There are 7 outcomes in Event B.
Alternatively, we can consider the complement of Event B. The complement of "at most two tails" is "exactly three tails". The only outcome with exactly three tails is TTT.
The probability of getting exactly three tails is $\frac{1}{8}$ (since TTT is one outcome out of 8).
So, the probability of Event B, $P(B)$, is:
$P(B) = 1 - P(\text{exactly 3 tails}) = 1 - \frac{1}{8} = \frac{7}{8}$
We need to find the probability of the union of events A and B, denoted as $P(A \cup B)$. The formula for the union of two events is:
$P(A \cup B) = P(A) + P(B) - P(A \cap B)$
First, let's find the intersection of A and B ($A \cap B$). This represents the outcomes that are common to both Event A (exactly two heads) and Event B (at most two tails).
The common outcomes are {HHT, HTH, THH}. These are the outcomes with exactly two heads, and they also satisfy the condition of having at most two tails (specifically, one tail each).
So, $A \cap B$ = {HHT, HTH, THH}. The number of outcomes in $A \cap B$ is 3.
The probability of the intersection, $P(A \cap B)$, is:
$P(A \cap B) = \frac{3}{8}$
Now, we can substitute the probabilities into the union formula:
$P(A \cup B) = P(A) + P(B) - P(A \cap B)$
$P(A \cup B) = \frac{3}{8} + \frac{7}{8} - \frac{3}{8}$
$P(A \cup B) = \frac{3 + 7 - 3}{8} = \frac{7}{8}$
Alternatively, we can list all the unique outcomes that belong to either A or B (or both):
There are 7 outcomes in the union $A \cup B$. Thus, the probability $P(A \cup B)$ is:
$P(A \cup B) = \frac{7}{8}$
Bag A contains 3 Red and 4 Black balls while Bag B contains 5 Red and 6 Black balls. One ball is drawn at random from one of the bags and is found to be red. Then, the probability that it was drawn from Bag B is
Suppose that the random variable X takes on the values: -1, 0, and 2 with probability $\frac{1}{8}$, $\frac{1}{2}$ and $\frac{3}{8}$. Find the expected value of X.
If the probability function for a random variable x is given as f(x) = (x+3)/15 when x = 1, 2 and 3. Find the sum of the values of the probability distribution for x.