+++ title = "Basic probability" description = "Calculate theoretical and experimental probabilities for simple events and complements." template = "chapter.html" weight = 32 [extra] subject = "math" chapter_id = "basic-probability" strand = "Data Handling" +++

Probability measures how likely an event is, from 0 (impossible) to 1 (certain).

Fundamentals

\[ P(E)=\frac{\text{number of favorable outcomes}}{\text{number of equally likely outcomes}}. \]

Also: \(0\le P(E)\le1\).

Complement rule

\[ P(E')=1-P(E). \]

Combined events

Experimental probability

\[ P(E)\approx\frac{\text{observed frequency}}{\text{number of trials}}. \]

Sample spaces and trees

Use sample-space tables or tree diagrams for multi-step outcomes. Multiply along branches, add across valid branches.

Exam strategy

Checkpoints

A fair die is rolled. Find \(P(\text{prime})\).

Answer: \(\frac{3}{6}=\frac12\) (2,3,5).

A bag has 4 red and 6 blue balls. Find \(P(\text{not red})\).

Answer: \(\frac{6}{10}=\frac35\).

For independent events, \(P(A)=0.3,P(B)=0.4\). Find \(P(A\cap B)\).

Answer: \(0.12\).

An event occurs 18 times in 50 trials. Estimate probability.

Answer: \(\frac{18}{50}=0.36\).