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Questions and Answers
What is an experiment?
What is an experiment?
A repeatable process that gives rise to a number of outcomes.
What is a sample space?
What is a sample space?
The set of all possible outcomes of an experiment.
What are the outcomes when rolling a die?
What are the outcomes when rolling a die?
{1, 2, 3, 4, 5, 6}
What does the event E1 represent if defined as even outcomes in rolling a die?
What does the event E1 represent if defined as even outcomes in rolling a die?
What is the range of probability for event E?
What is the range of probability for event E?
How is the probability of an event E defined?
How is the probability of an event E defined?
If A is the event where the number obtained is a multiple of 3 from throwing a die, what is P(A)?
If A is the event where the number obtained is a multiple of 3 from throwing a die, what is P(A)?
What is the formula for the complementary event of E?
What is the formula for the complementary event of E?
What is a Venn diagram used for?
What is a Venn diagram used for?
What is the addition rule for probabilities?
What is the addition rule for probabilities?
In a class of 30 students, how many students are in the choir?
In a class of 30 students, how many students are in the choir?
If 5 students are in the school band, what is the probability that a student chosen at random is not in the band?
If 5 students are in the school band, what is the probability that a student chosen at random is not in the band?
What is the probability of picking a red and a blue ball from a bag containing multiple colors?
What is the probability of picking a red and a blue ball from a bag containing multiple colors?
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Study Notes
Probability
- An experiment is a repeatable process leading to various outcomes.
- An event is a collection of one or more outcomes, while the sample space (Ω) encompasses all possible outcomes of an experiment.
- Example of a sample space when rolling a die: Ω = {1, 2, 3, 4, 5, 6}.
- Events from the die roll:
- E1 (even outcomes) = {2, 4, 6}
- E2 (odd outcomes) = {1, 3, 5}
- E3 (prime outcomes) = {2, 3, 5}.
Probability Scale
- The probability P(E) of an event E falls between 0 and 1: 0 ≤ P(E) ≤ 1.
Probability of an Event
- The probability P(E) of an event occurring is formulated as:
- P(E) = (Number of ways E can occur) / (Total number of outcomes).
- Example: For a fair die, event A (rolling a multiple of 3: {3, 6}):
- P(A) = 2 (favorable outcomes) / 6 (total outcomes) = 1/3.
Complementary Event
- For any event E, the complementary event Eâ‚€ signifies that E does not occur:
- P(Eâ‚€) = 1 - P(E).
Probability Diagrams
- Visual aids for probability concepts include:
- Sample space tables
- Tree diagrams
- Venn diagrams.
Example Probabilities
- When rolling two dice, the probability of obtaining a total of 8 is P(8) = 5/36.
- In a bag with 4 red, 5 yellow, and 11 blue balls, the probability of drawing a red and blue ball (in any order) is calculated using combinations.
Venn Diagrams
- Venn diagrams illustrate relationships between events:
- A∪B indicates "A or B"
- A∩B indicates "A and B".
- Addition Rule:
- P(A ∪ B) = P(A) + P(B) - P(A ∩ B).
- Rearranged: P(A ∩ B) = P(A) + P(B) - P(A ∪ B).
Application Example
- In a class of 30 students with memberships in choir and band:
- 7 in the choir, 5 in the band, 2 in both.
- Probability of selecting a student not in the band: P(not in band) = 25/30 = 5/6.
- Probability of selecting a student not in choir or band: P(not in either) = 20/30 = 2/3.
Vet Survey Example
- A vet surveyed 100 clients, results include:
- 25 own dogs, 53 own cats, 40 own tropical fish.
- Overlapping ownership includes:
- 15 own dogs and cats,
- 10 own cats and tropical fish,
- 11 own dogs and tropical fish,
- 7 own all three.
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