Skip to content
NCERT Exemplar · Q35

Q.The probability that a person visiting a zoo will see the giraffee is 0.720.72, the probability that he will see the bears is 0.840.84 and the probability that he will see both is 0.520.52.

Chhattisgarh CgbseShort· 1mImportance★★★★★est
91% · 85/93 Questions
🔒 Locked · start free trial →

You're viewing a preview — the full solution, concept, methods & PYQ mapping are locked.

Start your 14-day free trial to unlock the full solution →

The given probabilities are inconsistent, as the calculated probability of seeing at least one animal (1.041.04) exceeds 11, meaning a valid probability cannot be determined.

The core concept for solving problems involving the probability of "at least one" of two events occurring is the Addition Rule for Probability. This rule helps us find the probability of event A or event B (or both) happening.

When we simply add the probabilities of two events, P(A)+P(B)P(A) + P(B), we run into a problem if the events can occur simultaneously. The outcomes where both A and B happen (their intersection, A∩BA \cap B) are counted twice: once as part of event A and once as part of event B. To correct for this double-counting, we must subtract the probability of their intersection, P(A∩B)P(A \cap B), once.

For any two events AA and BB, the probability of AA or BB occurring is given by:

P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B)

Let's apply this understanding to the given problem.

  1. Define the events and list the given probabilities:

    Let GG be the event that a person sees the giraffes.

    Let BB be the event that a person sees the bears.

    We are provided with the following probabilities:

    • The probability of seeing giraffes: P(G)=0.72P(G) = 0.72
    • The probability of seeing bears: P(B)=0.84P(B) = 0.84
    • The probability of seeing both giraffes and bears: P(G∩B)=0.52P(G \cap B) = 0.52
  2. Identify the probability to be calculated:

    The problem implicitly asks for the probability that a person sees at least one of the giraffes or bears. This corresponds to the union of the two events, P(G∪B)P(G \cup B).

  3. Apply the Addition Rule:

    Using the formula P(G∪B)=P(G)+P(B)−P(G∩B)P(G \cup B) = P(G) + P(B) - P(G \cap B), we substitute the given values:

    P(G∪B)=0.72+0.84−0.52P(G \cup B) = 0.72 + 0.84 - 0.52

  4. Perform the calculation:

    First, sum the individual probabilities:

    0.72+0.84=1.560.72 + 0.84 = 1.56

    Now, subtract the probability of seeing both:

    P(G∪B)=1.56−0.52P(G \cup B) = 1.56 - 0.52

    P(G∪B)=1.04P(G \cup B) = 1.04

  5. Analyze the result for consistency:

    A fundamental principle of probability states that the probability of any event must be a value between 00 and 11, inclusive (0≤P(E)≤10 \le P(E) \le 1). Our calculated value for P(G∪B)P(G \cup B) is 1.041.04, which is greater than 11. This indicates that the initial probabilities provided in the problem statement are mathematically inconsistent. …

Unlock everything free for 14 days

  • Full step-by-step solutions
  • Concept-first explanations
  • Methods, shortcuts & mistakes
  • PYQ mapping + timed mock tests

Full access for 14 days. No credit card required.