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2.4 Probability Distributions

2.4 Probability Distributions

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Question 35

The random variable WWW represents the initial nutrient concentration, in mg/L, in a series of botanical samples. The probability distribution for WWW is given in the following table:

www1368
P(W=w)P(W=w)P(W=w)0.450.20.20.15
a.

Show that E(W)=3.45E(W) = 3.45E(W)=3.45.

[2]
b.

Find Var(W)Var(W)Var(W).

[3]
c.

The random variable SSS represents the soil porosity index of the sample's medium. The probability distribution for SSS is given in the following table, where kkk is a constant:

sss245kkk
P(S=s)P(S=s)P(S=s)0.250.250.250.25

Name the probability distribution of SSS.

[1]
d.

Given that E(S)=E(W)E(S) = E(W)E(S)=E(W), find the value of kkk.

[2]
e.

The growth of a seedling, GGG mm, is modelled by the normal distribution G∼N(μ,σ2)G \sim N(\mu, \sigma^2)G∼N(μ,σ2). Researchers Alice and Bob each select a nutrient concentration for μ\muμ and a porosity index for σ\sigmaσ by sampling from the distributions of WWW and SSS respectively. A sample is considered 'successful' if its growth exceeds 5 mm. The researcher whose parameters result in a higher probability of success, P(G>5)P(G > 5)P(G>5), wins.

Alice obtained w=6w = 6w=6 and s=2s = 2s=2. Bob obtained s=5s = 5s=5. Determine the probability that Bob wins.

[3]
f.

Find the largest probability of success, P(G>5)P(G > 5)P(G>5), achievable in this experiment.

[2]
g.

Assuming that the selections of W and S are independent, find the probability of a researcher achieving this maximum probability of success, P(G > 5).

[1]
Markscheme

2.4 Probability Distributions Questions

  1. A Level
  2. /Maths
  3. /2.4 Probability Distributions

390 exam-style questions on OCR (MEI) A Level Maths 2.4 Probability Distributions, covering 2.4.1 Recognise binomial situations, 2.4.2 Probability of success p, 2.4.3 Calculate binomial probabilities, 2.4.4 Mean of the binomial distribution, 2.4.5 Expected frequencies for binomial, 2.4.6 Probability functions and discrete random variables, 2.4.7 Numerical probabilities for a simple distribution, 2.4.8 Normal distribution as a model (A-level only), 2.4.9 Shape of the Normal curve (A-level only), 2.4.10 Linear transformation and standardising (A-level only), 2.4.11 Symmetry and inflection of Normal curve (A-level only), 2.4.12 Calculate probabilities from a Normal distribution (A-level only), 2.4.13 Model with probability distributions, and 2.4 Probability Distributions. Each one has a worked solution and a mark scheme showing where the marks go.

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