• Aucun résultat trouvé

Calcul du Montant Original des Nombres Entiers et des Pourcentages Variant de 1 à 99 (A)

N/A
N/A
Protected

Academic year: 2021

Partager "Calcul du Montant Original des Nombres Entiers et des Pourcentages Variant de 1 à 99 (A)"

Copied!
2
0
0

Texte intégral

(1)

Calcul du Pourcentage (A)

Calculez le pourcentage ou la valeur demandée.

1. 2.

3. 573 est 6% de quel montant? 4.

5. 525 est 28% de quel montant? 6.

7. 8.

9. 10. 201 est 3% de quel montant?

Mathslibres.com

2 082 est 40% de quel montant? 2 701 est 37% de quel montant?

5 739 est 75% de quel montant?

3 843 est 63% de quel montant?

6 231 est 67% de quel montant? 5 913 est 81% de quel montant?

(2)

Calcul du Pourcentage (A) Réponses

Calculez le pourcentage ou la valeur demandée.

1. 2.

3. 573 est 6% de quel montant? 4.

5. 525 est 28% de quel montant? 6.

7. 8.

9. 10. 201 est 3% de quel montant?

Mathslibres.com

2 082 est 40% de quel montant? 2 701 est 37% de quel montant?

5 205 7 300

5 739 est 75% de quel montant?

9 550 7 652

3 843 est 63% de quel montant?

1 875 6 100

6 231 est 67% de quel montant? 5 913 est 81% de quel montant?

9 300 7 300

1 224 est 51% de quel montant?

Références

Documents relatifs

et al., 1995; Valente et al., 1997) have been applied to subtropical mixed forest in China. Shaoshan forest is with two-layer canopy structure, i.e. It is di fficult to predict

example shows that the transfer of model parameters of more complex models to un- gauged catchments is an extremely di fficult task, and that model parameters cannot be treated

A normalised and scaled global proxy for ice volume is then calibrated against the mass balance data and subsequently used to obtain the glacier contribution to sea-level rise

Pegram Title Page Abstract Introduction Conclusions References Tables Figures J I J I Back Close. Full Screen

2 the 2002–2003 statistics estimations are given for the reliability of the time window earthquake prediction on the basis of geomagnetic field measurements (Mavrodiev, 2002b) and

The proposed GSDW model will have the ability to simulate relevant hydrological processes, e.g., canopy interception, evapo- transpiration, surface runoff, lateral

Weighted average δ 18 O p values for the three sites over the common time period April 2005 to September 2006 (not including August and September 2005 for all sites, as there was

plained by the near-bed hydraulic variables Vx and σVx implies that there is a degree of active or passive selection of hydraulic conditions by benthic invertebrates that occurs