Two dice are thrown independently Let\(A\) be the event that the number appeared on the \(1^{\text {st }}\) die is less than the number appeared on the \(2^{\text {nd }}\) die, \(B\) be the event that the number appeared on the \(1^{\text {st }}\) die is even and that on the second die is odd, and \(C\) be the event that the number appeared on the \(1^{\text {st }}\) die is odd and that on the \(2^{\text {nd }}\) is even Then :
For problems involving events on dice, systematically count the favourable cases for each condition by listing or using the total possibilities for independent events.
the number of favourable cases of the events A , B and C are 15, 6 and 6 respectively
B and C are independent
the number of favourable cases of the event\(( A \cup B ) \cap C\) is 6
Step 1: Calculate \( n(A) \), \( n(B) \), and \( n(C) \)}
( n(A) \): The favourable cases for \( A \) are all pairs \((i, j)\) where \( i < j \). For each value of \( j \), \( i \) can take values from 1 to \( j -1 \).
Thus:
\[n(A) = 5 + 4 + 3 + 2 + 1 = 15.\]
\( n(B) \): The \(1^{st}\) die is even (\( i = 2, 4, 6 \)) and the \(2^{nd} \)die is odd (\( j = 1, 3, 5 \)). The total combinations are:
\[n(B) = 3 \times 3 = 9.\]
\( n(C) \): The \(1^{st}\) die is odd (\( i = 1, 3, 5 \)) and the 2\(2^{nd}\) die is even (\( j = 2, 4, 6 \)). The total combinations are:
\[n(C) = 3 \times 3 = 9.\]
Step 2: Calculate \( n((A \cup B) \cap C) \)
The event \( (A \cup B) \cap C \) can be expressed as:
\[(A \cup B) \cap C = (A \cap C) \cup (B \cap C).\]
For \( A \cap C \): The\( 1^{st} \)die is odd (\( i = 1, 3, 5 \)), the \(2^{nd} \)die is even (\( j = 2, 4, 6 \)), and \( i < j \). The favourable pairs are:
\[(1, 2), (1, 4), (1, 6), (3, 4), (3, 6), (5, 6).\]
Thus:
\[n(A \cap C) = 6.\]
For \( B \cap C \): The events \( B \) and \( C \) are disjoint (\( B \cap C = \emptyset \)). Thus:
\[n(B \cap C) = 0.\]
So:
\[n((A \cup B) \cap C) = n(A \cap C) + n(B \cap C) = 6 + 0 = 6.\]
Conclusion:
The number of favourable cases for \( (A \cup B) \cap C \) is \( 6 \)
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 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.
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.
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.
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.
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.