Q.A fair coin is tossed four times, and a person win Re 1 for each head and lose Rs 1.50 for each tail that turns up. From the sample space calculate how many different amounts of money you can have after four tosses and the probability of having each of these amounts.
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Start your 14-day free trial to unlock the full solution →The key idea is to map the number of heads in 4 tosses to the net winnings, using the formula Net = (1)(H) - (1.50)(4-H). The possible net amounts are -6, -3.5, -1, 1.5, 4 (in rupees), and their probabilities follow the binomial distribution with , .
Why this approach works
When you toss a fair coin four times, each sequence of heads (H) and tails (T) is equally likely — there are equally probable outcomes. The net winnings depend only on the number of heads, not on the order of heads and tails. That’s because each head adds Re 1 and each tail subtracts Rs 1.50, and the total is just:
Since the number of tails = , we can rewrite everything in terms of , the number of heads.
This is a linear function of , so each distinct gives a distinct net amount. The possible values of are 0, 1, 2, 3, 4 — that’s 5 different amounts.
Now, the probability of getting exactly heads in 4 tosses of a fair coin is given by the binomial distribution:
We’ll compute the net amount for each , then list the probability.
Step-by-step solution
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List the possible numbers of heads
can be 0, 1, 2, 3, or 4. Each corresponds to a unique net amount because is strictly increasing in .
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Compute the net amount for each
- : (lose Rs 6)
- : (lose Rs 3.50)
- : (lose Re 1)
- : (win Rs 1.50)
- : (win Rs 4)
So the five distinct amounts are: -6, -3.5, -1, 1.5, 4 (all in rupees).
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Find the probability of each
Use :
- : , probability
- : , probability
- : , probability
- : , probability
- : , probability
-
Map these probabilities to the net amounts
Since each gives exactly one net amount, the probability of a net amount equals the probability of the corresponding .
| Net amount (Rs) | Number of heads | Probability | …
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