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Summary STK 210 Statistics – Counting Techniques Explained | Permutations, Combinations, Factorials & Binomial Theorem (Study Guide)

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These study notes explain the fundamental counting techniques used in probability and statistics for STK 210. The document provides clear explanations, formulas and examples to help students understand how to count possible outcomes in probability problems. Topics covered include: • Basic counting rule and sequential choices • Factorials and factorial simplification • Permutations (order matters) • Combinations (order does not matter) • Repeated objects and partitions • Circular arrangements • Binomial theorem and multinomial theorem • Decision rules for identifying permutations vs combinations These notes are useful for: • Exam preparation • Understanding probability foundations • Solving counting problems in statistics courses.

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Chapter 2
Counting Techniques:

WHY THIS CHAPTER EXISTS (Big Picture)
Probability needs one thing first:
We must count how many possible outcomes exist.
Example:
If you flip a coin, probability of heads =
favourable outcomes / total outcomes
=1/2
But if you toss 6 coins, how many outcomes exist?
You can’t list them manually.
So this chapter teaches you smart counting methods.
This entire chapter answers ONE question:
How many different possibilities are there?
Everything below is just different situations of counting.


1) BASIC COUNTING RULE (FOUNDATION OF
EVERYTHING)
Imagine choices happen in steps.
Step 1 → choose collection point (2 options)
Step 2 → choose vehicle (3 options)
Step 3 → choose delivery point (4 options)
Total possibilities:
2 × 3 × 4 = 24


The Rule
If a process has k steps and each step has:
n₁, n₂, …, nₖ possibilities
Total outcomes = n₁ × n₂ × … × nₖ

Real meaning
You are building a path.
Each new decision multiplies possibilities.
NOT adds — MULTIPLIES.


Example (True/False Test)
20 questions
Each question: 2 options
Total answer patterns:
2²⁰ = 1 048 576
You now understand why guessing exams is hard.

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