Question:

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.

Updated On: Oct 27, 2023
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Solution and Explanation

Since the coin is tossed four times, there can be a maximum of 4 heads or tails.
When 4 heads turns up, Re1+Re1+Re1+Re1=Rs4 is the gain.
When 3 heads and 1 tail turn up, Re 1 + Re 1 + Re 1 - Rs 1.50 = Rs 3 - Rs 1.50 = Rs 1.50 is the gain. 
When 2 heads and 2 tails turns up, Re 1 + Re 1- Rs 1.50 - Rs 1.50 = - Re 1, i.e., Re 1 is the loss.
When 1 head and 3 tails turn up, Re 1- Rs 1.50 - Rs 1.50 - Rs 1.50 = - Rs 3.50, i.e., Rs 3.50 is the loss. When 4 tails turn up, - Rs 1.50 - Rs 1.50 - Rs 1.50 - Rs 1.50 = - Rs 6.00, i.e., Rs 6.00 is the loss. 
There are 24 = 16 elements in the sample space S, which is given by:
S = {HHHH, HHHT, HHTH, HTHH, THHH, HHTT, HTTH, TTHH, HTHT, THTH, THHT, HTTT, THTT, TTHT, TTTH, TTTT} 
∴n(S) = 16 
The person wins Rs 4.00 when 4 heads turn up, i.e., when the event {HHHH} occurs. 
∴Probability (of winning Rs 4.00) =\(\frac{1}{16}\)
The person wins Rs 1.50 when 3 heads and one tail turn up, i.e., when the event {HHHT, HHTH, HTHH, THHH} occurs. 
∴Probability (of winning Rs 1.50) \(=\frac{4}{16}=\frac{1}{4}\)
The person loses Re 1.00 when 2 heads and 2 tails turn up, i.e., when the event {HHTT, HTTH, TTHH, HTHT, THTH, THHT} occurs. 
∴Probability (of losing Re 1.00) \(=\frac{6}{16}=\frac{3}{8}\)
The person loses Rs 3.50 when 1 head and 3 tails turn up, i.e., when the event {HTTT, THTT, TTHT, TTTH} occurs. 
Probability (of losing Rs 3.50) \(=\frac{4}{16}=\frac{1}{4}\)
The person loses Rs 6.00 when 4 tails turn up, i.e., when the event {TTTT} occurs.
Probability (of losing Rs 6.00) \(=\frac{1}{16}.\)

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Concepts Used:

Probability

Probability is defined as the extent to which an event is likely to happen. It is measured by the ratio of the favorable outcome to the total number of possible outcomes.

The definitions of some important terms related to probability are given below:

Sample space

The set of possible results or outcomes in a trial is referred to as the sample space. For instance, when we flip a coin, the possible outcomes are heads or tails. On the other hand, when we roll a single die, the possible outcomes are 1, 2, 3, 4, 5, 6.

Sample point

In a sample space, a sample point is one of the possible results. For instance, when using a deck of cards, as an outcome, a sample point would be the ace of spades or the queen of hearts.

Experiment

When the results of a series of actions are always uncertain, this is referred to as a trial or an experiment. For Instance, choosing a card from a deck, tossing a coin, or rolling a die, the results are uncertain.

Event

An event is a single outcome that happens as a result of a trial or experiment. For instance, getting a three on a die or an eight of clubs when selecting a card from a deck are happenings of certain events.

Outcome

A possible outcome of a trial or experiment is referred to as a result of an outcome. For instance, tossing a coin could result in heads or tails. Here the possible outcomes are heads or tails. While the possible outcomes of dice thrown are 1, 2, 3, 4, 5, or 6.