The probability of flipping a fair coin and getting heads is 1/2.
True
Match the term with its definition:
Sample Space ↔️ The set of all possible outcomes
Event ↔️ A subset of the sample space
Complement ↔️ All outcomes not in the event
What is the probability formula for the intersection of independent events A and B?
P(A∩B)=P(A)×P(B)
The probability of an event is calculated as the number of favourable outcomes divided by the total number of outcomes
Probability is a measure of the likelihood an event will occur
When rolling a 6-sided die, the probability of rolling a 4 is 1/6
Independent events are influenced by each other's outcomes.
False
What is the likelihood that an event will occur called?
Probability
What is the formula for calculating the probability of an event occurring?
\frac{\text{Number of Favorable Outcomes}}{\text{Total Number of Outcomes}}</latex>
What does set theory help define in probability?
Sample space and events
What is the formula for the probability of the union of two events A and B?
P(A \cup B) = P(A) + P(B) - P(A \cap B)</latex>
If rolling a die, the probability of getting an even number (event A) is 21 because there are 3 favourable outcomes out of 6
What is the probability of the union of events A and B in the die-rolling example?
\frac{2}{3}</latex>
The sample space for rolling a die is {1, 2, 3, 4, 5, 6}.
True
Match the set operation with its explanation and probability formula:
1️⃣ Union
2️⃣ Both or one event occurring
3️⃣ P(A∪B)=P(A)+P(B)−P(A∩B)
4️⃣ Intersection
5️⃣ Both events occurring
6️⃣ P(A∩B)
7️⃣ Complement
8️⃣ Event not occurring
9️⃣ P(A′)=1−P(A)
What is the probability of rolling a multiple of 3 on a die?
31
What is the probability of rolling a 4 and getting heads when flipping a coin?
121
If you draw a card from a deck and then draw a second card without replacing the first, are the events dependent or independent?
Dependent
What is the fundamental definition of probability?
Likelihood of an event
What does the term "favorable outcomes" refer to in probability calculations?
Outcomes meeting conditions
Set theory in probability helps define the sample space and events.
True
The complement of an event A is denoted as P(A′)
What is the sample space when rolling a die?
S={1,2,3,4,5,6}
What does the notation E⊆S represent?
Event E is a subset of S
Match the term with its definition:
Sample Space ↔️ All possible outcomes
Event ↔️ A subset of the sample space
Complement ↔️ All outcomes not in the event
Steps to calculate probability using set theory with a die example:
1️⃣ Define the sample space S={1,2,3,4,5,6}
2️⃣ Define event A (even numbers) and event B (multiples of 3)
3️⃣ Calculate P(A) and P(B)
4️⃣ Calculate P(A∩B)
5️⃣ Calculate P(A∪B)
Why is the probability of independent events calculated by multiplying their individual probabilities?
Outcome of one does not influence the other
What is the formula for the intersection of two dependent events A and B?
P(A∩B)=P(A)×P(B∣A)
Drawing a card from a deck and then drawing a second card without replacement is an example of dependent events.
True
The formula for conditional probability is P(A|B)
What is the condition for independent events in terms of probability?
P(A \cap B) = P(A) \times P(B)
Independent events occur when the outcome of one event influences the probability of another.
False
The probability that at least one of the two bulbs selected is defective is 0.0975.
True
What is a favorable outcome in probability?
Outcome meeting the conditions
Match the term with its definition:
Sample Space ↔️ All possible outcomes
Event ↔️ Subset of the sample space
Complement ↔️ All outcomes not in the event
The formula for calculating probability is Total Number of OutcomesNumber of Favorable Outcomes, where the numerator represents the number of favorable outcomes.
The probability of rolling a 4 on a 6-sided die is 61 because there is 1 favorable outcome and 6 total possible outcomes.
True
Match the set theory term with its LaTeX notation:
Sample Space ↔️ S</latex>
Event ↔️ E⊆S
Complement ↔️ E′
The probability of the complement of event A is calculated as P(A′)=1−P(A), where P(A) is the probability of event A occurring.
When rolling a die, the sample space is S={1,2,3,4,5,6}, which includes all possible outcomes.