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Sample and Event

⭐ Sample vs. Event

Think of probability as a story with two levels:

  • The sample space is the entire universe of all possible outcomes.
  • An event is a subset of that universe — the part you care about.

🎯 Sample Space (S)

The sample space is the complete list of everything that could happen in an experiment.

Examples

  • Rolling a die:
    S = \{1,2,3,4,5,6\}
  • Flipping two coins:
    S = \{HH, HT, TH, TT\}
  • Picking a random student:
    All students in the class form the sample space.

Key idea

The sample space is exhaustive — nothing possible is left out.

🎯 Event (A)

An event is any collection of outcomes from the sample space.
It can contain one outcome or many.

Examples

  • Rolling an even number:
    A = \{2,4,6\}
  • Getting at least one head in two coin flips:
    A = \{HH, HT, TH\}
  • Choosing a student who plays an instrument:
    A subset of the class.

Key idea

An event is something you can assign a probability to.

🧠 How they relate

  • The sample space is the big set.
  • An event is a smaller set inside it.
  • Probability is just the size of the event relative to the size of the sample space (in equally likely cases).

P(A) = \frac{\text{number of outcomes in } A}{\text{number of outcomes in } S}

🎨 A simple analogy

Sample space = the whole menu at a restaurant
Event = the vegetarian options
You’re not ordering the whole menu — just the part that matches your criteria.

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