Card 1 of 20
In X∼N(μ,σ2)X\sim N(\mu,\sigma^2)X∼N(μ,σ2), the second parameter is the [ ].
A
In X∼N(μ,σ2)X\sim N(\mu,\sigma^2)X∼N(μ,σ2), the second parameter is the variance.
B
After standardisation, the variable has distribution Z∼N(0,1)\boxed{Z\sim N(0,1)}Z∼N(0,1).
C
0.73570.73570.7357, approximately.
D
When they have a noticeable probability.
Card 1 of 20
2.4.8 Normal distribution as a model (A-level only) Flashcards
20 flashcards on OCR (MEI) A Level Maths 2.4.8 Normal distribution as a model (A-level only): the key formulae, methods and definitions you need to recall for Component 01, Component 02 and Component 03.