Demystifying - Fairness and selecting at random

Author note — to cover

Define fair, biased and at random; explain why equal likelihood justifies counting outcomes and give cases where it fails, such as a drawing pin or weighted spinner. Question type: is the counting method valid here. Both tiers. Estimating probabilities for biased objects is out of scope, living on Experimental probability. (P2)

Introduction

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