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A packing plant fills bags with cement - Edexcel - A-Level Maths Statistics - Question 7 - 2008 - Paper 2

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A packing plant fills bags with cement. The weight X kg of a bag of cement can be modelled by a normal distribution with mean 50kg and standard deviation 2kg. (a) F... show full transcript

Worked Solution & Example Answer:A packing plant fills bags with cement - Edexcel - A-Level Maths Statistics - Question 7 - 2008 - Paper 2

Step 1

(a) Find P(X>53)

96%

114 rated

Answer

To find this probability, we first standardize the variable using the formula:

Z=XμσZ = \frac{X - \mu}{\sigma}

where:

  • (X = 53)
  • (\mu = 50) (mean)
  • (\sigma = 2) (standard deviation)

Calculating Z:

Z=53502=1.5Z = \frac{53 - 50}{2} = 1.5

Next, we find the probability:

P(X>53)=1P(Z<1.5)P(X > 53) = 1 - P(Z < 1.5) Using standard normal distribution tables or a calculator, we find:

P(Z<1.5)0.9332P(Z < 1.5) \approx 0.9332

Thus,

P(X>53)10.9332=0.0668P(X > 53) \approx 1 - 0.9332 = 0.0668

Step 2

(b) Find the weight that is exceeded by 99% of the bags.

99%

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Answer

To find the weight that is exceeded by 99% of the bags, we need to find the Z-score that corresponds to the 1% in the upper tail:

From Z-tables, the Z-score that corresponds to 0.01 is approximately -2.326.

Now we can convert this Z-score back to the weight (X) using the formula:

X=μ+ZσX = \mu + Z \cdot \sigma

Substituting our values:

X=50+(2.326)245.348X = 50 + (-2.326) \cdot 2 \approx 45.348

Thus, 99% of the bags weigh less than approximately 45.35 kg.

Step 3

(c) Find the probability that two weigh more than 53 kg and one weighs less than 53 kg.

96%

101 rated

Answer

Let (p = P(X > 53) \approx 0.0668) and thus (q = P(X < 53) = 1 - p \approx 0.9332).

The scenario involves selecting 3 bags: 2 weigh more than 53 kg and 1 weighs less than 53 kg.

Using the binomial probability formula:

P(k;n,p)=(nk)pkqnkP(k; n, p) = \binom{n}{k} p^k q^{n-k}

Here, (n=3), (k=2), (p=0.0668), (q=0.9332):

P(2 more than 53extand1 less than 53)=(32)(0.0668)2(0.9332)1P(2 \text{ more than } 53 ext{ and } 1 \text{ less than } 53) = \binom{3}{2} (0.0668)^2 (0.9332)^1

Calculating:

=3(0.0668)2(0.9332)0.012424= 3 \cdot (0.0668)^2 \cdot (0.9332) \approx 0.012424

Therefore, the probability is approximately 0.0124.

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