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In X∼N(μ,σ2)X\sim N(\mu,\sigma^2)X∼N(μ,σ2), the second parameter is the [ ].
A
z=1.5z=1.5z=1.5
B
In X∼N(μ,σ2)X\sim N(\mu,\sigma^2)X∼N(μ,σ2), the second parameter is the variance.
C
For X∼N(μ,σ2)X\sim N(\mu,\sigma^2)X∼N(μ,σ2), the standard score is z=x−μσ\boxed{z=\frac{x-\mu}{\sigma}}z=σx−μ.
D
P(a<X<b)=P(X<b)−P(X<a)P(a<X<b)=P(X<b)-P(X<a)P(a<X<b)=P(X<b)−P(X<a)
Card 1 of 21
2.4.12 Calculate probabilities from a Normal distribution (A-level only) Flashcards
21 flashcards on OCR (MEI) A Level Maths 2.4.12 Calculate probabilities from a Normal distribution (A-level only): the key formulae, methods and definitions you need to recall for Component 01, Component 02 and Component 03.