14 domande, ultimo aggiornamento

Il set CAST

Queste 5 domande sono l’unico esempio numerico a cui l’EPSO rimanda dalle sue pagine per gli agenti contrattuali, e sono le stesse per tutti i gruppi di funzioni. I candidati AST e AST/SC ricevono le stesse 5.

Fonte: FG I–II si apre in una nuova scheda · FG III–IV si apre in una nuova scheda · interattivo, EN si apre in una nuova scheda · AST_Numerical_5Q_DA2.pdf si apre in una nuova scheda

CAST-01
Regional indicators
Area (million km²)Population (millions)GDP per head (€)
EU 253.89454.5618 960
EU 153.15380.3621 710
Eurozone2.46306.7020 987
USA9.63293.0329 795
Japan3.78127.6226 609

Eurozone: Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, Netherlands, Portugal, Spain.

EU 15: All eurozone countries, plus Denmark, Sweden, United Kingdom.

EU 25: All EU-15 countries, plus Cyprus, Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Slovakia, Slovenia.

GDP per person: an estimate of the wealth generated by a person over a given time period.

How much greater is the total GDP of the eurozone than that of Japan (in € millions)?

  1. A3 040 872
  2. B3 145 482
  3. C3 307 586
  4. D3 458 379
  5. E3 473 610
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Chiave dell’EPSO A: 3 040 872

Svolgimento. The table gives GDP per head, so both totals have to be built first. Eurozone: 306.70 × 20 987 = 6 436 712.9. Japan: 127.62 × 26 609 = 3 395 840.6. The difference is 3 040 872.3, which lands on option A to the last euro million. Rounding either product to three significant figures pushes you into B.

CAST-02

Basato sulla stessa tabella della domanda qui sopra ↑

Which region has the lowest number of people per km²?

  1. AEU-25
  2. BEU-15
  3. CEurozone
  4. DUSA
  5. EJapan
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Chiave dell’EPSO D: USA

Svolgimento. Five divisions, population over area: EU-25 116.9 · EU-15 120.8 · eurozone 124.7 · USA 30.4 · Japan 33.8. USA is lowest. The trap is Japan, which has the smallest population of the five but nowhere near the lowest density.

CAST-03

Basato sulla stessa tabella della domanda qui sopra ↑

There are 10 countries in the EU-25 that are not in the EU-15. What is the average population of those countries?

  1. A7.22 million
  2. B7.42 million
  3. C7.62 million
  4. D7.82 million
  5. E8.02 million
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Chiave dell’EPSO B: 7.42 million

Svolgimento. The only item that needs the footnotes: EU-25 is EU-15 plus ten named states, so the ten hold 454.56 − 380.36 = 74.20 million between them, and 74.20 / 10 = 7.42. Nothing in the numbered columns says the difference is ten countries; the note under the table does.

CAST-04

Basato sulla stessa tabella della domanda qui sopra ↑

Approximately how many more people are there per km² in the eurozone than in the EU-25?

  1. A7.82
  2. B8.04
  3. C8.26
  4. D8.48
  5. E8.70
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Chiave dell’EPSO A: 7.82

Svolgimento. Two of the densities from item 2, subtracted: 124.67 − 116.85 = 7.82. The options sit 0.22 apart, so both divisions have to be carried to two decimals before subtracting. Working to one decimal gives 7.8 or 8.0 and puts A and B in play.

CAST-05

Basato sulla stessa tabella della domanda qui sopra ↑

Which region has the highest total GDP?

  1. AEU-25
  2. BEU-15
  3. CEurozone
  4. DUSA
  5. EJapan
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Chiave dell’EPSO D: USA

Svolgimento. Population times GDP per head, in € millions: USA 8 730 829 · EU-25 8 618 458 · EU-15 8 257 616 · eurozone 6 436 713 · Japan 3 395 841. USA leads EU-25 by 1.3 percent, so this is the one item where an eyeball answer is genuinely unsafe: the population column favours the EU-25, the per head column favours the USA, and only the product settles it.

Il test di prova della pagina iniziale

La pagina iniziale dell’EPSO sul ragionamento numerico propone un breve test di prova con 4 domande aggiuntive, solo in inglese. Seguono un vecchio formato a quattro opzioni invece delle cinque del test vero.

Fonte: eu-careers.europa.eu/en/numerical-reasoning si apre in una nuova scheda · node 15194 · H5P content 5 to 8

COMP-01
R&D expenditure by country
R&D % GDP 2000R&D % GDP 2003Gov. funded % 2000Gov. funded % 2003Patents per m. 2000R&D €m 2000GDP per head € 2000
Belgium1.971.8922.923.5145.63 90019 330
Finland3.343.4326.225.7350.83 72521 582
France2.152.1738.739.0139.524 07518 874
Germany2.452.5231.431.2307.041 10020 261
Netherlands1.821.7634.236.2246.36 07521 003

In 2000, what was the ratio of GDP in the Netherlands to that in Finland?

  1. A1:3
  2. B2:3
  3. C3:2
  4. D3:1
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Chiave dell’EPSO D: 3:1

Svolgimento. GDP is not in the table, but it can be recovered: R&D spend divided by R&D share of GDP. Netherlands 6 075 / 0.0182 = 333 791, Finland 3 725 / 0.0334 = 111 527. The ratio is 2.99, so 3:1. The same item appears in the AD set below with a fifth option, None of the above, which changes how safe the approximation feels.

COMP-02
Number of books published in Estonia
TotalPhil.& psych.Rel.Social sci.Exact sci.Applied sci.ArtHistory
19951 6298674432195546176120
19961 5701009957118734117696
19972 100110109798273441223146
19981 7359990365285567177152
19991 8068699463274519186179

By what percentage did the number of history books published in Estonia fall from 1995 to 1996?

  1. A52 %
  2. B25 %
  3. C24 %
  4. D20 %
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Chiave dell’EPSO D: 20 %

Svolgimento. History falls from 120 to 96, so 24 / 120 = 20 %. The 24 % option is the raw drop of 24 titles restated as a percentage, and the 25 % option is 24/96, the fall measured against the wrong year.

COMP-03
Agricultural holdings by type of farming
1988 (’000)1988 %2000 (’000)2000 %
Cereals (wheat, rice, oats, etc.)18018.0013617.00
Cattle (dairy breeds)17017.00729.00
Cattle (beef breeds)909.008010.00
Mixed cattle (dual-purpose)151.50101.25
Sheep10510.508410.50
Pigs and poultry272.70222.75
Mixed cropping and livestock25625.6026833.50
Other crops: wine, horticulture15715.7012816.00
Total1 000100.00800100.00

In 2000, how many agricultural holdings were mainly engaged in cattle-farming?

  1. A72 000
  2. B162 000
  3. C246 000
  4. D275 000
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Chiave dell’EPSO B: 162 000

Svolgimento. Three cattle rows have to be added, not one: dairy 72, beef 80, dual-purpose 10, so 162 thousand. Option 72 000 is the dairy row alone; 246 000 folds in mixed cropping and livestock, which the table lists separately.

COMP-04
Fishery products purchased in a Spanish seaside town (2002)
Households (tonnes)Hotels & rest. (t)Institutions (t)Total (t)Per capita (kg)
Total fishery products1 120330501 50037.50
Total fresh and frozen fish6801353585021.25
Fresh fish560105567016.75
Frozen fish12030301804.50
Tinned fish1604552105.25
Shellfish2801501044011.00

What is the population of the town to which the table relates?

  1. A25 000
  2. B30 000
  3. C37 500
  4. D40 000
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Chiave dell’EPSO D: 40 000

Svolgimento. The per capita column is the lever: 1 500 tonnes of fishery products is 1 500 000 kg, and at 37.50 kg a head that is 40 000 people. Reading 37.50 as thousands of inhabitants gives the 37 500 distractor.

Il set Amministratori

Queste 5 domande sono state pubblicate per i concorsi AD, nel formato attuale a cinque opzioni. Nessuna pagina CAST vi rimanda, tranne il link croato, che mostra questo set al suo posto.

Fonte: interattivo, EN si apre in una nuova scheda · AD_Numerical_5Q_DA2.pdf si apre in una nuova scheda

AD-01
Global population demographics
Size (sq. km)Population (million)% living in citiesNumber of countries
Africa30 065 000877.53653
Asia44 579 0003 879.03444
Europe9 938 000727.07446
North America24 256 000501.57923
South America17 819 000379.58212

What is the size (in sq. km) of North and South America combined?

  1. A42 015 000
  2. B42 075 000
  3. C42 135 000
  4. D42 195 000
  5. E42 255 000
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Chiave dell’EPSO B: 42 075 000

Svolgimento. A single addition, 24 256 000 + 17 819 000 = 42 075 000. The five options are 60 000 apart, which is where the item gets its difficulty: this is a test of adding carefully, not of adding.

AD-02
R&D expenditure by country
R&D % GDP 2000R&D % GDP 2003Gov. funded % 2000Gov. funded % 2003Patents per m. 2000R&D €m 2000GDP per head € 2000
Belgium1.971.8922.923.5145.63 90019 330
Finland3.343.4326.225.7350.83 72521 582
France2.152.1738.739.0139.524 07518 874
Germany2.452.5231.431.2307.041 10020 261
Netherlands1.821.7634.236.2246.36 07521 003

In 2000, what was the ratio of GDP in the Netherlands to that in Finland?

  1. A1:3
  2. B2:3
  3. C3:2
  4. D3:1
  5. ENone of the above
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Chiave dell’EPSO D: 3:1

Svolgimento. Same item as COMP 1, with the fifth option restored. 6 075 / 0.0182 = 333 791 against 3 725 / 0.0334 = 111 527, a ratio of 2.99. Close enough to 3:1 that None of the above is a live temptation, and wrong.

AD-03

Basato sulla stessa tabella della domanda qui sopra ↑

In 2000, approximately what was the ratio of GDP in Germany to that in France?

  1. A1:3
  2. B2:3
  3. C3:2
  4. D3:1
  5. ENone of the above
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Chiave dell’EPSO C: 3:2

Svolgimento. Germany 41 100 / 0.0245 = 1 677 551, France 24 075 / 0.0215 = 1 119 767. The ratio is 1.498, so 3:2. The word approximately is doing real work here, and it is the only item in either set that uses it.

AD-04

Basato sulla stessa tabella della domanda qui sopra ↑

If Germany’s GDP increased by 2 % between 2000 and 2003, how much did government R&D spending increase during this period?

  1. A1.35 %
  2. B2.20 %
  3. C3.25 %
  4. D4.25 %
  5. ENone of the above
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Chiave dell’EPSO D: 4.25 %

Svolgimento. Three factors compound: GDP, the R&D share of GDP, and the government share of R&D. (1.02 × 2.52 × 31.2) / (2.45 × 31.4) = 1.0425, so 4.25 %. Adding the three percentage changes instead of multiplying them gives roughly 2.2 %, which is option B.

AD-05

Basato sulla stessa tabella della domanda qui sopra ↑

If Belgium’s GDP increased by 3 % between 2000 and 2003, how much did government R&D spending increase during this period?

  1. A1.11 %
  2. B1.21 %
  3. C1.31 %
  4. D1.41 %
  5. ENone of the above
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Chiave dell’EPSO D: 1.41 %

Svolgimento. The same chain on Belgium’s row: (1.03 × 1.89 × 23.5) / (1.97 × 22.9) = 1.0141, so 1.41 %. Belgium’s R&D intensity fell while its government share rose, so the two effects nearly cancel and the four wrong options sit 0.10 apart.