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IB Mathematics SL 4.3 Measures of central tendency AI SL Paper 2 - Exam Style Questions - New Syllabus

Question

A survey was completed by 20 000 expatriates (people living in a country that is not their own). The data ranked countries in order of the country they felt was best for expats. The highest-ranked country was Switzerland.
These results were compared with happiness scores taken from The World Happiness Report 2022. The following table shows this data for the top 10 expatriate countries.
CountrySwitzerlandNew ZealandSpainAustraliaCyprusPortugalIrelandUnited Arab EmiratesFranceNetherlands
Expatriate country rank12345678910
Happiness score7.57.26.57.26.26.07.06.66.77.4
(a) For the happiness score, find
    (i) the upper quartile
    (ii) the interquartile range. [4]
(b) Show that Switzerland’s happiness score is not an outlier for this data. [3]
The happiness scores were ranked to calculate Spearman’s rank correlation coefficient, \(r_s\). These ranks are shown in the following table.
CountrySwitzerlandNew ZealandSpainAustraliaCyprusPortugalIrelandUnited Arab EmiratesFranceNetherlands
Happiness score7.57.26.57.26.26.07.06.66.77.4
Happiness rank1abc9105762
(c) Write down the value of
    (i) \(a\)
    (ii) \(b\)
    (iii) \(c\). [3]
(d) (i) Find \(r_s\).
    (ii) If France’s happiness score is upgraded to \(6.9\), explain why the value of \(r_s\) does not change. [3]
Aria concludes from this data that countries with high happiness scores are likely to be favourite expatriate countries.
(e) State, with a reason, whether Aria’s conclusion is appropriate. [1]
▶️ Answer/Explanation
Markscheme-style solution

Given scores (from the table): \(7.5,\,7.2,\,6.5,\,7.2,\,6.2,\,6.0,\,7.0,\,6.6,\,6.7,\,7.4\).

(a)

Sort ascending: \(6.0,\,6.2,\,6.5,\,6.6,\,6.7,\,7.0,\,7.2,\,7.2,\,7.4,\,7.5\).
For \(n=10\): lower half = first 5, upper half = last 5.
\(Q_1=\) median of lower half \(=6.5\); \(Q_3=\) median of upper half \(=7.2\).
(i) \(\boxed{Q_3=7.2}\). (ii) \(\text{IQR}=Q_3-Q_1=7.2-6.5=\boxed{0.7}\).

(b) Tukey fences (outliers):

Upper fence \(=Q_3+1.5\,\text{IQR}=7.2+1.5(0.7)=8.25\). Switzerland’s score \(7.5<8.25\) so it is not an outlier. (Lower fence \(=6.5-1.05=5.45\) is not needed here.)

(c) (Rank highest score as 1; ties share the average rank.)

The two \(7.2\) scores (NZ, Australia) tie for ranks \(3\) and \(4\) \(\Rightarrow\) each gets \(3.5\).
Hence \(\boxed{a=3.5},\ \boxed{b=8}\ (\text{Spain’s }6.5),\ \boxed{c=3.5}\ (\text{Australia}).\)

(d)(i) Spearman’s \(r_s\).

Use expatriate ranks \(x_i=1,2,\dots,10\) (in the same country order) and the happiness ranks \(y_i=[1,\,3.5,\,8,\,3.5,\,9,\,10,\,5,\,7,\,6,\,2]\).
Differences \(d_i=x_i-y_i=[0,\,-1.5,\,-5,\,0.5,\,-4,\,-4,\,2,\,1,\,3,\,8]\).
Squares \(d_i^2=[0,\,2.25,\,25,\,0.25,\,16,\,16,\,4,\,1,\,9,\,64]\) so \(\sum d_i^2=137.5\).
Without tie correction, \(r_s=1-\dfrac{6\sum d_i^2}{n(n^2-1)}=1-\dfrac{6(137.5)}{10\cdot 99}\approx 0.1667\).
Applying the (required) tie adjustment (or using GDC “Spearman (ties)”) gives \(\boxed{r_s\approx 0.164}\) (to 3 s.f.).

(d)(ii)

If France’s score changes to \(6.9\), its position among the scores is unchanged (still rank \(6\)); since the ranks do not change, \(r_s\) does not change.

(e)

\(r_s\) is very close to \(0\) (weak association of the ranks), so Aria’s conclusion is not appropriate.
Total Marks: 14
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