Question
One ticket is selected at random from tickets numbered Then the probability that the sum of the digits on the selected ticket is , given that the product of these digits is zer, equals :
Options
Solution
Key Concepts and Formulas
- Conditional Probability: The probability of an event A occurring given that another event B has already occurred is denoted as . It is fundamentally about narrowing down the sample space to only those outcomes where event B has happened.
- Formula for Conditional Probability: For any two events A and B, the conditional probability is given by: Where is the probability of both A and B occurring, and is the probability of B occurring.
- Counting Principle for Equally Likely Outcomes: When all outcomes in the sample space are equally likely (as in selecting a ticket at random), the probability of an event can be calculated as the ratio of favorable outcomes to the total possible outcomes. For conditional probability, this translates to: This formula effectively treats the outcomes of Event B as the new, reduced sample space.
Step-by-Step Solution
Step 1: Understand the Problem and Define Events The problem asks for a conditional probability: "the probability that the sum of the digits on the selected ticket is , given that the product of these digits is zero."
Let's clearly define the events:
- Event A: The sum of the digits on the selected ticket is .
- Event B: The product of the digits on the selected ticket is zero.
Our goal is to find , which is the probability of Event A occurring given that Event B has already occurred. We will use the counting principle: .
Step 2: Define the Sample Space () The tickets are numbered from . This set of tickets represents our complete sample space, . The total number of tickets in the sample space is . Each ticket has a tens digit () and a units digit (). For example, ticket has . Ticket has . Why this step is important: Clearly defining the full range of possibilities is crucial. It ensures we only consider valid tickets when listing outcomes for our events, preventing errors like including a ticket like if it's not in the sample space.
Step 3: Identify Outcomes for Event B (Product of Digits is Zero) and Calculate Event B occurs if the product of the digits () is zero. This happens if and only if either the tens digit () is zero, or the units digit () is zero (or both). We will list all tickets from our sample space ( to ) that satisfy this condition.
-
Tens digit () is zero: These tickets are . There are such tickets.
-
Units digit () is zero (and tens digit is non-zero): We need to consider tickets where but to avoid double-counting the ticket , which was already included in the first category. These tickets are . There are such tickets.
Combining these two sets, the set of tickets for Event B is:
The total number of outcomes in Event B is . Why this step is important: forms the denominator of our conditional probability. It represents the size of our reduced sample space—all the outcomes that are possible given that Event B has occurred.
Step 4: Identify Outcomes for Event (Sum of Digits is 8 AND Product of Digits is Zero) and Calculate Now we need to find the tickets that satisfy both conditions simultaneously:
- The sum of the digits is ().
- The product of the digits is zero ().
From Step 3, we know that for the product of digits to be zero, one of the digits must be zero. Let's apply this to the sum condition:
-
Case 1: Tens digit () is zero. If , then for the sum , the units digit must be . This gives us the ticket . This ticket is within our sample space () and is also in Event B (as its product of digits is ). So, is an outcome in .
-
Case 2: Units digit () is zero. If , then for the sum , the tens digit must be . This would imply a ticket like . However, our sample space only includes tickets up to . Therefore, is not a valid ticket in this problem.
Thus, the only ticket that satisfies both conditions (sum of digits is AND product of digits is zero) is .
So, the set of outcomes for Event is:
The total number of outcomes in Event is . Why this step is important: forms the numerator of our conditional probability. It represents the number of favorable outcomes within the reduced sample space defined by Event B.
Step 5: Calculate the Conditional Probability Now, we apply the conditional probability formula using the counts of outcomes we determined:
Substitute the values we found:
Why this step is important: This is the final calculation that directly answers the problem by combining the results from the previous steps.
Common Mistakes & Tips
- Sample Space Boundaries: Always remember the defined range of tickets. A common mistake is to consider tickets like even if they fall outside the range.
- Double Counting: When listing outcomes for , be careful not to double-count tickets like if you list "tickets with " and "tickets with " separately without adjustment. A systematic approach (e.g., , then for ) helps avoid this.
- Misinterpreting "Given That": Do not calculate or relative to the original sample space and then try to use directly. While correct, it's often simpler to directly work with counts of outcomes ( and ) for the conditional probability when dealing with equally likely events.
Summary
To find the probability that the sum of the digits is , given that their product is zero, we first identified all tickets where the product of digits is zero (Event B). There were such tickets. Then, from these tickets, we identified how many also had a sum of digits equal to (Event ). Only one ticket, , satisfied both conditions. Therefore, the conditional probability is the ratio of these counts, which is .
The final answer is , which corresponds to option (A).