Skip to content
NCERT Exemplar · Q16

Q.Suppose that 6%6\% of the people with blood group O are left handed and 10%10\% of those with other blood groups are left handed. 30%30\% of the people have blood group O. If a left handed person is selected at random, what is the probability that he/she will have blood group O?

Punjab PsebShort· 5mImportance★★★★★
61% · 101/165 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 →

This is a classic Bayes’ theorem problem. We are given the prevalence of blood group O (30%) and the conditional probabilities of being left-handed given O (6%) and given not-O (10%). The probability that a randomly selected left-handed person has blood group O is approximately 0.2045 or 20.45%.

We start with the idea of conditional probability: we want P(O∣left-handed)P(\text{O} \mid \text{left-handed}), the probability that a person has blood group O given that they are left-handed. The direct data we have is the other way around — left-handedness given blood group. Bayes’ theorem is the natural tool to reverse the conditioning.

Let’s define events clearly:

  • Let OO = event that a person has blood group O.
  • Let LL = event that a person is left-handed.

We are told:

  • P(O)=0.30P(O) = 0.30 (30% of people have blood group O).
  • P(L∣O)=0.06P(L \mid O) = 0.06 (6% of people with blood group O are left-handed).
  • P(L∣Oc)=0.10P(L \mid O^c) = 0.10 (10% of people with other blood groups are left-handed).

We want P(O∣L)P(O \mid L).


  1. Find the probability of being left-handed overall, P(L)P(L). This is the total probability, which we get by considering both ways a person can be left-handed: either they have blood group O and are left-handed, or they don’t have O and are left-handed.

P(L)=P(L∩O)+P(L∩Oc)P(L) = P(L \cap O) + P(L \cap O^c)

Using the multiplication rule:

P(L∩O)=P(O)⋅P(L∣O)=0.30×0.06=0.018P(L \cap O) = P(O) \cdot P(L \mid O) = 0.30 \times 0.06 = 0.018

P(L∩Oc)=P(Oc)⋅P(L∣Oc)=(1−0.30)×0.10=0.70×0.10=0.07P(L \cap O^c) = P(O^c) \cdot P(L \mid O^c) = (1 - 0.30) \times 0.10 = 0.70 \times 0.10 = 0.07

So:

P(L)=0.018+0.07=0.088P(L) = 0.018 + 0.07 = 0.088

That is, 8.8% of the population is left-handed.

  1. Apply Bayes’ theorem. Bayes’ theorem states:

P(O∣L)=P(L∣O)⋅P(O)P(L)P(O \mid L) = \frac{P(L \mid O) \cdot P(O)}{P(L)}

We already have all three pieces:

P(O∣L)=0.06×0.300.088=0.0180.088P(O \mid L) = \frac{0.06 \times 0.30}{0.088} = \frac{0.018}{0.088}

  1. Simplify the fraction. …

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.