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Sagot :
Sure, let's look at the provided statements about conditional probability and determine which ones are correct:
1. The conditional probability formula is [tex]$P(X \mid Y)=\frac{P(X \cap \cap}{P(\cap)}$[/tex]:
This statement appears to have a formatting issue that makes it hard to interpret correctly. If the intended formula is [tex]$P(X \mid Y) = \frac{P(X \cap Y)}{P(Y)}$[/tex], then it's correct. However, given the provided notation issue in the statement, it's better to mark this as incorrect.
2. The conditional probabilities [tex]$P(D \mid N)$[/tex] and [tex]$P(N \mid D)$[/tex] are equal for any events [tex]$D$[/tex] and [tex]$N$[/tex]:
This statement is incorrect. Conditional probabilities [tex]$P(D \mid N)$[/tex] and [tex]$P(N \mid D)$[/tex] are generally not equal. For example, if [tex]$D$[/tex] and [tex]$N$[/tex] are not independent events, then [tex]$P(D \mid N)$[/tex] can be very different from [tex]$P(N \mid D)$[/tex].
3. The notation [tex]$P(R \mid S)$[/tex] indicates the probability of event [tex]$R$[/tex], given that event [tex]$S$[/tex] has already occurred:
This statement is correct. The notation [tex]$P(R \mid S)$[/tex] correctly describes the conditional probability of [tex]$R$[/tex] given that [tex]$S$[/tex] has occurred.
4. Conditional probability applies only to independent events:
This statement is incorrect. Conditional probability is actually more relevant when dealing with dependent events. If two events are independent, then [tex]$P(R \mid S) = P(R)$[/tex], which trivializes the concept of conditional probability. Conditional probability helps describe the relationship between dependent events.
5. Conditional probabilities can be calculated using a Venn diagram:
This statement is correct. Venn diagrams can be used as a visual tool to help understand and calculate conditional probabilities by illustrating the overlap between events.
Therefore, the correct statements are:
- The notation [tex]$P(R \mid S)$[/tex] indicates the probability of event [tex]$R$[/tex], given that event [tex]$S$[/tex] has already occurred.
- Conditional probabilities can be calculated using a Venn diagram.
These correspond to statements 3 and 5.
1. The conditional probability formula is [tex]$P(X \mid Y)=\frac{P(X \cap \cap}{P(\cap)}$[/tex]:
This statement appears to have a formatting issue that makes it hard to interpret correctly. If the intended formula is [tex]$P(X \mid Y) = \frac{P(X \cap Y)}{P(Y)}$[/tex], then it's correct. However, given the provided notation issue in the statement, it's better to mark this as incorrect.
2. The conditional probabilities [tex]$P(D \mid N)$[/tex] and [tex]$P(N \mid D)$[/tex] are equal for any events [tex]$D$[/tex] and [tex]$N$[/tex]:
This statement is incorrect. Conditional probabilities [tex]$P(D \mid N)$[/tex] and [tex]$P(N \mid D)$[/tex] are generally not equal. For example, if [tex]$D$[/tex] and [tex]$N$[/tex] are not independent events, then [tex]$P(D \mid N)$[/tex] can be very different from [tex]$P(N \mid D)$[/tex].
3. The notation [tex]$P(R \mid S)$[/tex] indicates the probability of event [tex]$R$[/tex], given that event [tex]$S$[/tex] has already occurred:
This statement is correct. The notation [tex]$P(R \mid S)$[/tex] correctly describes the conditional probability of [tex]$R$[/tex] given that [tex]$S$[/tex] has occurred.
4. Conditional probability applies only to independent events:
This statement is incorrect. Conditional probability is actually more relevant when dealing with dependent events. If two events are independent, then [tex]$P(R \mid S) = P(R)$[/tex], which trivializes the concept of conditional probability. Conditional probability helps describe the relationship between dependent events.
5. Conditional probabilities can be calculated using a Venn diagram:
This statement is correct. Venn diagrams can be used as a visual tool to help understand and calculate conditional probabilities by illustrating the overlap between events.
Therefore, the correct statements are:
- The notation [tex]$P(R \mid S)$[/tex] indicates the probability of event [tex]$R$[/tex], given that event [tex]$S$[/tex] has already occurred.
- Conditional probabilities can be calculated using a Venn diagram.
These correspond to statements 3 and 5.
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