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The weights of bags of popcorn are normally distributed with mean of 200 g and 60% of all bags weighing between 190 g and 210 g - Edexcel - A-Level Maths Statistics - Question 6 - 2008 - Paper 1

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The weights of bags of popcorn are normally distributed with mean of 200 g and 60% of all bags weighing between 190 g and 210 g. (a) Write down the median weight of... show full transcript

Worked Solution & Example Answer:The weights of bags of popcorn are normally distributed with mean of 200 g and 60% of all bags weighing between 190 g and 210 g - Edexcel - A-Level Maths Statistics - Question 6 - 2008 - Paper 1

Step 1

Write down the median weight of the bags of popcorn.

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Answer

The median weight of the bags of popcorn is equal to the mean weight in a normal distribution. Therefore, the median weight is 200 g.

Step 2

Find the standard deviation of the weights of the bags of popcorn.

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Answer

To find the standard deviation, we can use the information given about the percentage of bags that weigh between 190 g and 210 g. Since 60% of the bags fall within this range, we are looking at a range of ±10 g from the mean (200 g).

Using the Z-scores:

  • For the lower bound (190 g), we can find the Z-score as: Z=Xμσ=190200σZ = \frac{X - \mu}{\sigma} = \frac{190 - 200}{\sigma}
  • For the upper bound (210 g): Z=210200σ=10σZ = \frac{210 - 200}{\sigma} = \frac{10}{\sigma}

Since the probability between these Z-scores corresponds to 60%, which translates to Z-scores of approximately -0.8416 and +0.8416, we can set up the equations:

Using the properties of the normal distribution: P(Z<0.8416)P(Z<0.8416)=0.6P(Z < 0.8416) - P(Z < -0.8416) = 0.6 This information allows us to calculate the standard deviation as: σ11.882129\sigma \approx 11.882129

Step 3

Find the probability that a customer will complain.

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Answer

To find the probability that a customer complains (i.e., their bag weighs less than 180 g), we use the Z-score:

Z=180200σ=2011.8821291.6832Z = \frac{180 - 200}{\sigma} = \frac{-20}{11.882129} \approx -1.6832

Now, we determine the probability: P(X<180)=P(Z<1.6832)P(X < 180) = P(Z < -1.6832) Using the standard normal distribution table, we find: (P(Z < -1.6832) \approx 0.0465) Thus, the probability that a customer will complain is approximately 0.0465, or 4.65%.

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