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The weight, X grams, of soup put in a tin by machine A is normally distributed with a mean of 160 g and a standard deviation of 5 g - Edexcel - A-Level Maths: Statistics - Question 8 - 2011 - Paper 1

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The weight, X grams, of soup put in a tin by machine A is normally distributed with a mean of 160 g and a standard deviation of 5 g. A tin is selected at random. (a... show full transcript

Worked Solution & Example Answer:The weight, X grams, of soup put in a tin by machine A is normally distributed with a mean of 160 g and a standard deviation of 5 g - Edexcel - A-Level Maths: Statistics - Question 8 - 2011 - Paper 1

Step 1

Find the probability that this tin contains more than 168 g.

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Answer

To find the probability that the tin contains more than 168 g, we need to standardize the value using the formula:

P(X>168)=P(Z>1681605)P(X > 168) = P\left(Z > \frac{168 - 160}{5}\right)

Calculating the Z-score:

Z=1681605=85=1.6Z = \frac{168 - 160}{5} = \frac{8}{5} = 1.6

Using the standard normal distribution, we find:

P(Z>1.6)=1P(Z<1.6)10.9452=0.0548P(Z > 1.6) = 1 - P(Z < 1.6) \approx 1 - 0.9452 = 0.0548

Thus, the probability that the tin contains more than 168 g is approximately 0.0548.

Step 2

Find w such that P(X < w) = 0.01.

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Answer

To find the value of w such that P(X < w) = 0.01, we need to find the Z-score corresponding to this probability:

Using a standard normal distribution table, we find:

Z=2.3263Z = -2.3263

Now, we revert to the original variable X using:

w=160+Z5w = 160 + Z * 5

Substituting the Z-value:

w=160+(2.3263)5=16011.6315148.37w = 160 + (-2.3263) * 5 = 160 - 11.6315 \approx 148.37

Thus, w is approximately 148.37.

Step 3

Given that P(Y < 160) = 0.99 and P(Y > 152) = 0.90 find the value of μ and the value of σ.

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Answer

From the given probabilities, we can use the Z-score formulas:

  1. For P(Y < 160) = 0.99:

    • The Z-score for 0.99 is approximately 2.33: 2.33=160μσ2.33 = \frac{160 - \mu}{\sigma} Therefore, we have: 160μ=2.33σμ=1602.33σ160 - \mu = 2.33\sigma \Rightarrow \mu = 160 - 2.33\sigma
  2. For P(Y > 152) = 0.90:

    • This means P(Y < 152) = 0.10, with a corresponding Z-score of approximately -1.28: 1.28=152μσ-1.28 = \frac{152 - \mu}{\sigma} Therefore: 152μ=1.28σμ=152+1.28σ152 - \mu = -1.28\sigma \Rightarrow \mu = 152 + 1.28\sigma

Now we have a system of two equations:

  1. ( \mu = 160 - 2.33\sigma )
  2. ( \mu = 152 + 1.28\sigma )

Equating the two expressions for μ:

1602.33σ=152+1.28σ160 - 2.33\sigma = 152 + 1.28\sigma

Solving for σ:

8=3.61σσ2.218 = 3.61\sigma \Rightarrow \sigma \approx 2.21

Substituting back to find μ:

μ=1602.33(2.21)154.85\mu = 160 - 2.33(2.21) \approx 154.85

Thus, the values are approximately:
μ ≈ 154.85 and σ ≈ 2.21.

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