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A midwife records the weights, in kg, of a sample of 50 babies born at a hospital - Edexcel - A-Level Maths Statistics - Question 5 - 2016 - Paper 1

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A midwife records the weights, in kg, of a sample of 50 babies born at a hospital. Her results are given in the table below. Weight (w kg) Frequency (f) Weig... show full transcript

Worked Solution & Example Answer:A midwife records the weights, in kg, of a sample of 50 babies born at a hospital - Edexcel - A-Level Maths Statistics - Question 5 - 2016 - Paper 1

Step 1

Calculate the width and height of the bar representing a weight of 3 ≤ w < 3.5.

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Answer

The width of the bar is the difference between the upper and lower limits of the interval.

Width: extWidth=3.53=0.5extkg ext{Width} = 3.5 - 3 = 0.5 ext{ kg}

The height can be found using the frequency of the interval.

Using the frequency density: ext{Height} = rac{ ext{Frequency}}{ ext{Width}} = rac{17}{0.5} = 34 ext{ cm}

Step 2

Use linear interpolation to estimate the median weight of these babies.

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To compute the median, we first determine the cumulative frequency:

  • Up to 2 kg: 1
  • Up to 3 kg: 9
  • Up to 3.5 kg: 26

The median is the value at the rac{50}{2} = 25th position, which falls into the interval of 3 ≤ w < 3.5:

Using linear interpolation:

Let L = 3, C.F = 9, F = 17, h = 0.5

The median weight is estimated as:

ext{Median} = L + rac{(n/2 - C.F)}{f} imes h

Calculating:

ext{Median} = 3 + rac{(25 - 9)}{17} imes 0.5 \\ ext{Median} acksimeq 3.47

Step 3

Show that an estimate of the mean weight of these babies is 3.43 kg.

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Answer

To find the mean weight, apply:

ext{Mean} = rac{ ext{Σ}(f imes x)}{N}

Calculating Σ(f × x):

=(1×1)+(8×2.5)+(17×3.25)+(17×3.75)+(7×4.5)=171.5= (1 × 1) + (8 × 2.5) + (17 × 3.25) + (17 × 3.75) + (7 × 4.5) = 171.5

Dividing by the total frequency (N = 50):

ext{Mean} = rac{171.5}{50} = 3.43 ext{ kg}

Step 4

Find an estimate of the standard deviation of the weights of these babies.

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Answer

Calculate variance using:

ext{Variance} = rac{ ext{Σ}(f imes (x - ext{Mean})^2)}{N}

We compute Σ(f × (x - 3.43)²) to find the standard deviation, with the computed variance:

extStandardDeviation=extVariance ext{Standard Deviation} = ext{√Variance}

After calculations, we estimate:

ext{Standard Deviation} acksimeq 0.680

Step 5

Find P(W < 3).

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Answer

Using the normal distribution model for Shyam's decision:

Convert to the standard normal variable:

Z = rac{3 - 3.43}{0.65} acksimeq -0.662

Using Z-tables to find:

P(W < 3) acksimeq P(Z < -0.662) acksimeq 0.2546

Step 6

With reference to your answers to (b), (c)(i) and (c)(ii), comment on Shyam's decision.

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Answer

Shyam's normal approximation suggests a mean of 3.43 kg, which aligns with the estimated mean from our calculations. However, variability (as indicated by standard deviation) may not accurately represent the sample data. A potentially skewed distribution would imply less reliability in Shyam's statistical modeling.

Step 7

Without carrying out any further calculations, state, giving a reason, what effect the addition of this newborn baby to the sample would have on your estimate of the mean.

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Answer

Adding a newborn baby weighing 3.43 kg will not affect the mean significantly, as it equals the current mean. Thus, the mean remains unchanged.

Step 8

Without carrying out any further calculations, state, giving a reason, what effect the addition of this newborn baby to the sample would have on your estimate of the standard deviation.

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Answer

The addition of a newborn baby weighing 3.43 kg will decrease the standard deviation slightly, as the new data point coincides with the mean, resulting in a decreased spread of weights.

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