Analyzing the Setup
Imagine you are standing before a vast, empty grid representing the universe of possibilities when rolling two six-sided dice. With six faces on each die, the total number of outcomes is 6×6=36. This represents our total sample space.
However, we are interested in a restricted reality where the sum of the scores is a multiple of 4. This condition defines Event B. Consequently, the vast majority of our 36 outcomes vanish, leaving only those where the sum is 4, 8, or 12.
Defining the Condition
To determine the size of our reduced sample space, n(B), we systematically identify the pairs that satisfy the condition:
For a sum of 4, the pairs are (1,3),(2,2), and (3,1). This yields 3 outcomes.
For a sum of 8, we identify (2,6),(3,5),(4,4),(5,3), and (6,2). This yields 5 outcomes.
For a sum of 12, there is only one possibility: (6,6). This yields 1 outcome.
Summing these, we find the total size of our restricted sample space:
n(B)=3+5+1=9
The Intersection
Finding the Target
Now, we introduce Event A, defined as the event where the score 4 appears at least once. We must find the intersection n(A∩B), which requires us to count how many outcomes within our restricted set of 9 contain the number 4.
Scanning our list:
- From the sum of 4: (1,3),(2,2),(3,1) contain no 4.
- From the sum of 8: (2,6),(3,5),(4,4),(5,3),(6,2), we find that (4,4) contains a 4.
- From the sum of 12: (6,6) contains no 4.
Thus, the number of favorable outcomes is:
n(A∩B)=1
The Final Calculation
The formula for conditional probability is given by:
P(A∣B)=n(B)n(A∩B)
Substituting our calculated values into the formula, we arrive at the final result:
P(A∣B)=91
This result demonstrates that probability is about visualizing constraints and counting with precision. By navigating the grid and isolating the favorable outcomes, we have successfully determined the final answer: 91.