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The heights of a given population are normally distributed - Leaving Cert Mathematics - Question 5 - 2021

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The heights of a given population are normally distributed. 95% of the population fall within the height range [147.9 cm ↔ 178.7 cm]. Using the empirical rule, find ... show full transcript

Worked Solution & Example Answer:The heights of a given population are normally distributed - Leaving Cert Mathematics - Question 5 - 2021

Step 1

Mean =

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Answer

To find the mean height of the population, we can average the two given values:

extMean=147.9+178.72=163.3 cm ext{Mean} = \frac{147.9 + 178.7}{2} = 163.3 \text{ cm}

Step 2

Standard Deviation =

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Answer

The empirical rule states that approximately 95% of values lie within 2 standard deviations from the mean. Thus:

ext2standarddeviations=178.7163.3=15.4 cm ext{2 standard deviations} = 178.7 - 163.3 = 15.4 \text{ cm}

This implies that: σ=15.42=7.7 cm\sigma = \frac{15.4}{2} = 7.7 \text{ cm}, where ( ext{\sigma}) is the standard deviation.

Step 3

Complete the scatter plot by adding in the data for the males

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Answer

The male data extracted from the table is:

GenderHeight (cm)Arm Span (cm)
14M147
15M134
16M177
17M172
18M160
19M165
20M175

These points should be plotted on the scatter plot.

Step 4

Tick (✓) the one which you think best represents the correlation coefficient between height and arm span for this data set.

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Answer

The correlation coefficient should reflect a strong positive relationship. Hence, I would tick the box for 0-6 as it indicates a high positive correlation.

Step 5

Explain what this correlation coefficient tells us about the relationship between height and arm span for this data set.

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Answer

A correlation coefficient close to 1 (in this case, 0.6) suggests a strong positive linear relationship between height and arm span. This means that, generally, as height increases, the arm span also tends to increase. Taller teenagers are likely to have a longer arm span, indicating a proportional increase in these two physical characteristics.

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