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George throws a ball at a target 15 times - Edexcel - A-Level Maths Statistics - Question 1 - 2022 - Paper 1

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George throws a ball at a target 15 times. Each time George throws the ball, the probability of the ball hitting the target is 0.48. The random variable X represent... show full transcript

Worked Solution & Example Answer:George throws a ball at a target 15 times - Edexcel - A-Level Maths Statistics - Question 1 - 2022 - Paper 1

Step 1

Find P(X = 3)

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Answer

To find P(X = 3), we use the binomial probability formula:

P(X = k) = {n rack k} p^k (1 - p)^{n - k}

Where:

  • nn is the number of trials (15),
  • kk is the number of successes (3),
  • pp is the probability of success (0.48).

Therefore: P(X = 3) = {15 rack 3} (0.48)^3 (0.52)^{12}

Calculating this gives: P(X=3)=455imes0.110464imes0.002953412=0.0197P(X = 3) \\ \\ = 455 imes 0.110464 imes 0.002953412 \\ \\ = 0.0197

Thus, we find: P(X=3)=0.0197P(X = 3) \\ = 0.0197

Step 2

Find P(X > 5)

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To find P(X > 5), we can use the complement rule:

P(X>5)=1P(Xleq5)P(X > 5) = 1 - P(X \\leq 5)

We first need to calculate P(X ≤ 5). This can be computed by summing the probabilities from P(X = 0) to P(X = 5) using the binomial formula:

P(X = k) = {15 rack k} (0.48)^k (0.52)^{15 - k}

After computing separately for each value, we find:

P(Xleq5)=P(X=0)+P(X=1)+P(X=2)+P(X=3)+P(X=4)+P(X=5)P(X \\leq 5) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5)

Using cumulative calculations: P(X>5)=1P(Xleq5)=0.920P(X > 5) = 1 - P(X \\leq 5) \\ = 0.920

Step 3

Use a normal approximation to calculate the probability that he will hit the target more than 110 times.

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Answer

For large n, we can use the normal approximation: Let Y be the number of hits which follows: YsimN(np,np(1p))Y \\sim N(np, np(1 - p)) Where:

  • n=250n = 250, p=0.48p = 0.48,
  • Mean (mu\\mu) = np=250imes0.48=120np = 250 imes 0.48 = 120,
  • Variance (sigma2\\sigma^2) = np(1p)=250imes0.48imes0.52=30.np(1 - p) = 250 imes 0.48 imes 0.52 = 30.

Calculating the standard deviation: sigma=30approx5.48\\sigma = \sqrt{30} \\approx 5.48

To find P(Y > 110): Convert to the z-score: z=Xmuσ=1101205.48approx1.82z = \frac{X - \\mu}{\sigma} = \frac{110 - 120}{5.48} \\approx -1.82

Using the standard normal distribution, we find: P(Z>1.82)approx0.885P(Z > -1.82) \\approx 0.885

Thus, the approximation gives us: P(Y>110)approx0.885P(Y > 110) \\approx 0.885

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