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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 this probability, we first calculate the z-score for 150 cm using the formula:

z=Xμσz = \frac{X - \mu}{\sigma}

where X=150X = 150, μ=162\mu = 162, and σ=7.5\sigma = 7.5. Therefore,

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

Using the standard normal distribution table, we find:

P(Z>1.6)=1P(Z<1.6)=10.94520.945P(Z > -1.6) = 1 - P(Z < -1.6) = 1 - 0.9452 \approx 0.945

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 adult height, we need to find the z-score that corresponds to the 60th percentile. From standard normal distribution tables, the z-score for the 60th percentile is approximately:

z0.253z \approx 0.253

We then use the z-score formula again, rearranging it to find the height XX:

X=μ+zσX = \mu + z \sigma

For adult females, μ=162\mu = 162 cm and σ=7.5\sigma = 7.5 cm. Plugging the values in, we get:

X=162+0.253×7.5162+1.8975163.9X = 162 + 0.253 \times 7.5 \approx 162 + 1.8975 \approx 163.9

Therefore, Sarah's estimated height as an adult is approximately 163.9 cm.

Step 3

Find the mean height of an adult male.

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Answer

Let μ\mu represent the mean height of adult males. Since 90% of adult males are taller than the mean height of adult females, we set up the equation:

P(X>162)=0.90P(X > 162) = 0.90

This implies that:

P(X162)=0.10P(X \leq 162) = 0.10

Using the z-score table: the z-score corresponding to 0.10 is approximately -1.2816. We can use the z-score formula to find the mean height of adult males:

z=Xμσz = \frac{X - \mu}{\sigma}

Substituting the known values, we have:

1.2816=162μ9-1.2816 = \frac{162 - \mu}{9}

Rearranging gives:

μ=162+(1.2816)×916211.5344150.4656\mu = 162 + (-1.2816) \times 9 \approx 162 - 11.5344 \approx 150.4656

Thus, the estimated mean height of an adult male is approximately 150.47 cm.

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