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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 represen... 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 will use the binomial probability formula:

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

where:

  • n=15n = 15 (number of trials)
  • k=3k = 3 (number of successes)
  • p=0.48p = 0.48 (probability of success)

Calculating:

P(X = 3) = inom{15}{3} (0.48)^3 (1 - 0.48)^{15 - 3}

Calculating the binomial coefficient:

inom{15}{3} = \frac{15!}{3!(15-3)!} = 455

Now plugging in values:

P(X=3)=455×(0.48)3×(0.52)12P(X = 3) = 455 \times (0.48)^3 \times (0.52)^{12}

Using a calculator:

P(X=3)0.0197P(X = 3) \approx 0.0197

Step 2

Find P(X > 5)

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Answer

To find P(X > 5), we use the complementary probability:

P(X>5)=1P(X5)P(X > 5) = 1 - P(X \leq 5)

We can calculate P(X5)P(X \leq 5) by summing from 0 to 5:

P(X5)=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)

Instead, we can also compute:

P(X>5)=1k=05P(X=k)P(X > 5) = 1 - \sum_{k=0}^{5} P(X = k)

Using the binomial formula:

P(X>5)=1k=05(15k)(0.48)k(0.52)15kP(X > 5) = 1 - \sum_{k=0}^{5} \binom{15}{k} (0.48)^k (0.52)^{15-k}

After calculating, we find:

P(X>5)0.920 (or0.9203)P(X > 5) \approx 0.920\ (or 0.9203)

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

To approximate the probabilities for large sample sizes, we can use the normal approximation to the binomial distribution:

Let:

  • YY = number of hits, where YN(np,np(1p))Y \sim N(np, np(1-p))
  • n=250n = 250
  • p=0.48p = 0.48

Calculating the mean and standard deviation:

  • Mean:
    np=250×0.48=120np = 250 \times 0.48 = 120

  • Variance:
    np(1p)=250×0.48×0.5230np(1-p) = 250 \times 0.48 \times 0.52 \approx 30

  • Standard Deviation:
    σ=305.477\sigma = \sqrt{30} \approx 5.477

Now convert the target of more than 110 hits to a Z-score:

Z=Xμσ=1101205.4771.826Z = \frac{X - \mu}{\sigma} = \frac{110 - 120}{5.477} \approx -1.826

Using the standard normal distribution table to find the probability of Z being greater than -1.826, we can find:

P(Y>110)=1P(Z1.826)0.8854P(Y > 110) = 1 - P(Z \leq -1.826) \approx 0.8854

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