Such unpredictability can be useful sometimes! For example, in a cricket match, the fact that a coin is tossed to decide which team will bat first is considered to be a fair method. Can you explain why?
Step-by-step solution
To find: Why this method is fair
Idea: A method is fair when every side has the same chance. A fair coin gives heads and tails the same chance, and the result cannot be predicted, so the toss gives both teams an equal chance.
- Outcomes of the toss: heads or tails. A fair coin is symmetrical, so there is no reason for it to land on one side more often than the other. The two outcomes are equally likely: P(heads) = P(tails) = 12.½ mark
- One captain calls (say, heads). The captain wins the toss if the coin shows heads and loses if it shows tails. So each captain has a chance of 12 of winning the toss.½ mark
- Nobody can predict or control the result. The coin is tossed freely into the air, so neither captain, nor the umpire, can make it land a particular way. The result is decided by chance alone.½ mark
- Since both teams have the same chance and nobody can influence the result, neither team gets an unfair advantage in choosing to bat or bowl first. That is why the toss is considered fair. Here unpredictability is useful: it is exactly what makes the decision fair.½ mark
Check: If the coin were bent so that it showed heads 70% of the time, the captain who called heads would have a 0.7 chance and the other only 0.3. The method would then be unfair. So fairness depends on the outcomes being equally likely.
Answer to write in the exam
Outcomes of a fair coin: {H, T}, equally likely.
P(H) = P(T) = 12
The result cannot be predicted or controlled by either captain.
∴ Each team has the same chance (12) of winning the toss, so the method is fair.
Common mistakes that cost marks
- Saying “it is fair because the toss is quick” or “because it is a tradition”. The real reason is the equal chance (12 each) and the fact that nobody can control the result.
- Thinking the team that won the last toss is less likely to win this one. Each toss is a fresh start; the coin has no memory, so the chance is still 12.
- Forgetting the word fair (unbiased) coin. A bent or weighted coin would not give an equal chance.
How this can come in the exam
Two captains toss a fair coin to decide who bats first. The probability that the captain who calls tails wins the toss is
- 0
- 14
- 12
- 1
Show answer
(C) 12
Tails is one of two equally likely outcomes, so the probability is 12.
Assertion (A): Tossing a fair coin is a fair way to decide which of two teams kicks off a football match.
Reason (R): When a fair coin is tossed, heads and tails are equally likely outcomes.
- Both A and R are true, and R is the correct explanation of A.
- Both A and R are true, but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
Show answer
(A) Both A and R are true, and R is the correct explanation of A.
Both statements are true, and A is fair precisely because the two outcomes are equally likely (R).
Try one yourself
Three friends want to decide who sits in the front seat. Would tossing one coin be a fair method for three people? Suggest a fair method.
Show answer
One coin has only two equally likely outcomes, so it cannot give three people equal chances directly. A fair method: write the three names on identical slips, fold them, and pick one without looking. Each friend then has a chance of 13.
More questions like this
- Have you wondered what makes an event like rain random?
- Ask your friend to predict the outcome of a ₹ 1 coin you toss. Do you see that your friend could guess heads or tails but could not know for certain? That’s randomness! All possible results are known, but each individual try is unpredictable.
- Rank the following events on a scale from 0 (Impossible) to 1 (Certain). Label each event: Impossible, less likely, equally likely (even chance), more likely, certain. Give reasons why you gave each event its ranking.
- The set of all possible outcomes in an experiment is called the sample space. The sample space may be listed within brackets, separated by commas as shown below.
- Suppose you roll a die 50 times, and it lands on a 4 exactly 8 times.