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Basic Probability

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Edexcel International A Level

Statistics 1 (YMA01)

Basic Probability
Comprehensive revision guide with diagrams for probabilities, events, Venn diagrams, and tree diagrams

1. Calculating Probabilities & Events

What Language is Used in Probability?

Experiment: A repeatable activity that has a result that can be observed or recorded. It is what is happening in a question.
Outcome: The result of an experiment.
Sample Space: All possible outcomes can be shown in a sample space – this may be a list or a table and is particularly useful when it is difficult to envisage all possible outcomes in your head.
Event: An outcome or a collection of outcomes; it is what we are interested in happening. An event could be more than one outcome.

Sample Space Example

📊 Sample Space: Product of Two Fair Four-Sided Spinners

Terminology: 'and', 'or', 'not'

✓ Key Terminology:
  • A and B: Both events A and B happen at the same time (written as A ∩ B)
  • A or B: Event A happens, or event B happens, or both happen (written as A ∪ B)
  • Not A: Event A does not happen (written as A')

Notation and Basic Probability

P(A) = 0.6 → "the probability of event A happening is 0.6"
P(A') = 0.4 → "the probability of event A not happening is 0.4"
P(not A) = 1 − P(A)
✓ Basic Probability Formula:

P("success") = Number of ways to get "success" / Total number of outcomes

This formula only applies if all outcomes are equally likely.

⚠ Important Distinction:
  • Theoretical Probability: Based on what should happen (e.g., rolling a fair die)
  • Relative Frequency: Based on experimental results (e.g., outcomes from actually rolling a die many times)
  • Compare the two to detect bias in an experiment

2. Independent & Mutually Exclusive Events

What are Independent Events?

Independent Events: Events that do not affect each other. The probability of one event happening is unaffected by the outcome of the other event.
✓ Independent Events Rule:

P(A AND B) = P(A) × P(B)

Example: Rolling a 6 on a dice AND flipping heads on a coin = 1/6 × 1/2 = 1/12

What are Mutually Exclusive Events?

Mutually Exclusive Events: Events that cannot occur simultaneously. The outcome of one event means the other event cannot occur.
✓ Mutually Exclusive Events Rule:

P(A OR B) = P(A) + P(B)

Example: Rolling a 5 on a die OR rolling a 6 = 1/6 + 1/6 = 2/6 = 1/3

Comparison: Independent vs Mutually Exclusive

Aspect Independent Events Mutually Exclusive Events
Definition Do not affect each other Cannot happen at the same time
AND/OR AND is used (×) OR is used (+)
Formula P(A AND B) = P(A) × P(B) P(A OR B) = P(A) + P(B)
Example Rolling a die twice Rolling a 5 or 6 on one die
P(A AND B) Can be non-zero Always equals 0
Relationship Can be independent AND mutually exclusive Cannot be independent
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Also in the full note
  • 3. Venn Diagrams
  • 4. Tree Diagrams
  • 📋 Key Facts to Remember
  • ✅ Pre-Exam Checklist
  • 🎯 Last-Minute Exam Tips
  • What is a Venn Diagram?
  • Components of a Venn Diagram
  • How to Find Probabilities from Venn Diagrams
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