A coin is tossed three times. Consider the following events: A: No head appears B: Exactly one head appears C. At least two heads appear Which one of the following is correct?
A ∩ (B’ ∪ C’) = B’ ∩ C’
Let's consider the experiment of tossing a coin three times. We first need to determine the sample space, which is the set of all possible outcomes.
The possible outcomes when tossing a coin three times are:
The sample space, denoted by $S$, is:
$\qquad S = \{ \text{HHH, HHT, HTH, THH, HTT, THT, TTH, TTT} \}$
The total number of outcomes is $2^3 = 8$.
Now let's define the given events based on the sample space:
Event A: No head appears
This means all three tosses are tails.
$\qquad A = \{ \text{TTT} \}$
Event B: Exactly one head appears
This means one head and two tails in any order.
$\qquad B = \{ \text{HTT, THT, TTH} \}$
Event C: At least two heads appear
This means two heads and one tail, or three heads.
Outcomes with two heads: HHT, HTH, THH
Outcomes with three heads: HHH
$\qquad C = \{ \text{HHT, HTH, THH, HHH} \}$
Let's check the relationship between these events. Events A, B, and C are mutually exclusive (no common outcomes) and their union covers the entire sample space ($A \cup B \cup C = S$).
We need the complements of events B and C, denoted by $B'$ and $C'$. The complement of an event contains all outcomes in the sample space that are not in the event.
Event B': Not exactly one head
This includes outcomes with 0 heads, 2 heads, or 3 heads.
$\qquad B' = S \setminus B = \{ \text{HHH, HHT, HTH, THH, TTT} \}$
Alternatively, $B'$ consists of outcomes in A or C:
$\qquad B' = A \cup C = \{ \text{TTT} \} \cup \{ \text{HHT, HTH, THH, HHH} \} = \{ \text{TTT, HHT, HTH, THH, HHH} \}$
Event C': Not at least two heads
This means less than two heads, i.e., 0 heads or 1 head.
$\qquad C' = S \setminus C = \{ \text{TTT, HTT, THT, TTH} \}$
Alternatively, $C'$ consists of outcomes in A or B:
$\qquad C' = A \cup B = \{ \text{TTT} \} \cup \{ \text{HTT, THT, TTH} \} = \{ \text{TTT, HTT, THT, TTH} \}$
Summary of Events and Complements:
| Event | Outcomes |
|---|---|
| $A$ | $\{ \text{TTT} \}$ |
| $B$ | $\{ \text{HTT, THT, TTH} \}$ |
| $C$ | $\{ \text{HHT, HTH, THH, HHH} \}$ |
| $B'$ | $\{ \text{TTT, HHT, HTH, THH, HHH} \}$ |
| $C'$ | $\{ \text{TTT, HTT, THT, TTH} \}$ |
Now we evaluate each option using the sets defined above.
Option 1: $(A \cup B) \cap (A \cup C) = B \cup C$
Option 2: $(A \cap B') \cup (A \cup C') = B' \cup C'$
Option 3: $A \cap (B' \cup C') = A \cup B \cup C$
Option 4: $A \cap (B' \cup C') = B' \cap C'$
Let's verify the result using set properties. Recall $B' = A \cup C$ and $C' = A \cup B$ because A, B, C partition S.
By defining the sample space and the events A, B, and C, calculating their complements, and applying set operations, we found that the equation in Option 4 is correct.
$\qquad A \cap (B' \cup C') = B' \cap C'$
| Concept | Description |
|---|---|
| Sample Space ($S$) | The set of all possible outcomes of a random experiment. For 3 coin tosses, $S$ has 8 outcomes. |
| Event | A subset of the sample space. |
| Complement of an Event ($E'$) | The set of all outcomes in $S$ that are not in $E$. $E' = S \setminus E$. |
| Union of Events ($E_1 \cup E_2$) | The set of outcomes that are in $E_1$ or $E_2$ or both. |
| Intersection of Events ($E_1 \cap E_2$) | The set of outcomes that are in both $E_1$ and $E_2$. |
| Mutually Exclusive Events | Events that have no outcomes in common ($E_1 \cap E_2 = \emptyset$). |
| Partition of Sample Space | A collection of mutually exclusive events whose union is the sample space. Events A, B, and C in this problem form a partition. |
Set operations like union, intersection, and complement are fundamental in probability theory. They allow us to define relationships between events and calculate probabilities of combined events using rules like the Addition Rule ($P(A \cup B) = P(A) + P(B) - P(A \cap B)$) or De Morgan's Laws $((A \cup B)' = A' \cap B')$ and $((A \cap B)' = A' \cup B')$. Understanding how to manipulate sets using these laws is crucial for solving problems involving multiple events.
In this problem, we implicitly used the distributive law for sets: $X \cup (Y \cap Z) = (X \cup Y) \cap (X \cup Z)$ and $X \cap (Y \cup Z) = (X \cap Y) \cup (X \cap Z)$. The identity used to simplify $B' \cap C'$ in Option 4 was $(A \cup C) \cap (A \cup B) = A \cup (C \cap B)$, which is a standard distributive property.
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List I | List II |
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(B) R 1- R 2 | (II) {1, 1} |
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