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The heights of an adult female population are normally distributed with mean 162 cm and standard deviation 7.5 cm - Edexcel - A-Level Maths Statistics - Question 6 - 2012 - Paper 2

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The heights of an adult female population are normally distributed with mean 162 cm and standard deviation 7.5 cm. (a) Find the probability that a randomly chosen a... show full transcript

Worked Solution & Example Answer:The heights of an adult female population are normally distributed with mean 162 cm and standard deviation 7.5 cm - Edexcel - A-Level Maths Statistics - Question 6 - 2012 - Paper 2

Step 1

Find the probability that a randomly chosen adult female is taller than 150 cm.

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Answer

To find the probability, we first standardize the value using the formula:

z=xμσz = \frac{x - \mu}{\sigma}

Where:

  • x=150x = 150 cm
  • μ=162\mu = 162 cm
  • σ=7.5\sigma = 7.5 cm

Calculating zz:

z=1501627.5=127.51.6z = \frac{150 - 162}{7.5} = \frac{-12}{7.5} \approx -1.6

Next, we look up the z-value in the standard normal distribution table:

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

Thus, the probability that a randomly chosen adult female is taller than 150 cm is approximately 0.945.

Step 2

Assuming that Sarah remains at the 60th percentile, estimate her height as an adult.

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Answer

To estimate Sarah's height at the 60th percentile, we again standardize:

Using the z-value for the 60th percentile, which is approximately 0.25337, we rearrange the formula:

x=μ+zσx = \mu + z \cdot \sigma

Where:

  • μ=162\mu = 162 cm (mean height)
  • σ=7.5\sigma = 7.5 cm (standard deviation)

Calculating her estimated height:

x=162+(0.253377.5)162+1.900275163.9 cmx = 162 + (0.25337 \cdot 7.5) \approx 162 + 1.900275 \approx 163.9 \text{ cm}

Therefore, Sarah's estimated height as an adult is approximately 164 cm.

Step 3

find the mean height of an adult male.

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Answer

Let the mean height of adult females be represented as μf\mu_f, which is equal to 162 cm.

We know that 90% of adult males are taller than μf\mu_f, meaning that:

P(X>μm)=0.90P(X > \mu_m) = 0.90

This implies that:

P(Xμm)=0.10P(X \leq \mu_m) = 0.10

Using the z-score table, the z-value for the lower 10% is approximately -1.2816.

Now, we can express μm\mu_m in terms of the population mean and standard deviation:

μm=μf+zσm\mu_m = \mu_f + z \cdot \sigma_m

Where:

  • σm=9.0\sigma_m = 9.0 cm

Substituting the values:

μm=162+(1.28169.0)16211.5344173.533\mu_m = 162 + (-1.2816 \cdot 9.0) \approx 162 - 11.5344 \approx 173.533

Thus, the mean height of an adult male is approximately 174 cm.

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