Versucht aus den Beispielen menschlicher Übersetzungen das Übersetzen zu lernen.
Von professionellen Übersetzern, Unternehmen, Websites und kostenlos verfügbaren Übersetzungsdatenbanken.
150
150,000
Letzte Aktualisierung: 2020-10-03
Nutzungshäufigkeit: 1
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450, 000
450,000
Letzte Aktualisierung: 2022-09-01
Nutzungshäufigkeit: 1
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150 pax
150 pax
Letzte Aktualisierung: 2020-07-30
Nutzungshäufigkeit: 1
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3, 000, 000
3,000,000
Letzte Aktualisierung: 2023-08-31
Nutzungshäufigkeit: 1
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150 words
150 na salita
Letzte Aktualisierung: 2023-10-11
Nutzungshäufigkeit: 2
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150 nalang poh
150 nalang poh
Letzte Aktualisierung: 2020-12-31
Nutzungshäufigkeit: 1
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150 thousand pesos
150 libong piso
Letzte Aktualisierung: 2021-03-30
Nutzungshäufigkeit: 1
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tagalog ng 150 pesos
tagalog ng 150 pesos
Letzte Aktualisierung: 2023-09-07
Nutzungshäufigkeit: 2
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youngest sister 150 words
bunsong kapatid na babae 150 words
Letzte Aktualisierung: 2020-01-09
Nutzungshäufigkeit: 1
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convection currents tagalog 150 words
convection currents tagalog 150 salita
Letzte Aktualisierung: 2022-10-07
Nutzungshäufigkeit: 3
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150 words from the importance of language
150 na salita na galing sa kahalagahan ng wika
Letzte Aktualisierung: 2022-10-19
Nutzungshäufigkeit: 1
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150 examples of adjectives or descriptive words
150 halimbawa ng pang uri o salitang naglalarawan
Letzte Aktualisierung: 2020-09-04
Nutzungshäufigkeit: 1
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how many ten pesos are there in ₱320 000
₱320 000
Letzte Aktualisierung: 2020-12-10
Nutzungshäufigkeit: 1
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entry to the farm isa at 150 consumable in the cafe
150 consumable sa cafe
Letzte Aktualisierung: 2023-10-15
Nutzungshäufigkeit: 1
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from 20 000 active cases then in august it is just over 4 000 now
mula sa 20 000 active cases noon agosto mahigit 4 000 nalang ito ngayon
Letzte Aktualisierung: 2020-10-29
Nutzungshäufigkeit: 1
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be sure to identify the person who to comes to your room before opening,if a suspicious persons wants to enter your room,call the front office by dialing 000
siguraduhin na makilala ang mga tao kung sino ang dumating sa iyong kuwarto bago pagbubukas, kung ang isang kahina-hinalang tao ay nais na ipasok ang iyong room, tumawag sa front office sa pamamagitan ng pagdayal 000
Letzte Aktualisierung: 2016-08-09
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amount of money differs very much for each profile. you can generate anywhere from 50 000 usd to 150 000 usd per one brand partnership. this of course depends very much from your location, profile niche, target audience, profile engagement, etc.
amount of money differs very much for each profile. you can generate anywhere from 50 000 usd to 150 000 usd per one brand partnership. this of course depends very much from your location, profile niche, target audience, profile engagement, etc.
Letzte Aktualisierung: 2021-04-23
Nutzungshäufigkeit: 1
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si joy ya recibi 987 con el de suyo tata ya dale le poco dinero con el de suyo hermana y sin embargo tiene pa le sen 150 ya queda quanto dinero ya dale le con su hermana
si joy ya recibi 987 con el de suyo tata ya dale le poco dinero con el de suyo hermana y sin embargo tiene pa le sen 150 ya queda quanto dinero ya dale le con su hermana
Letzte Aktualisierung: 2021-03-04
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so we can easily clear the unknown x in the usual way, through crossed multiplication: 265 * x = 5 300 000 * 1 x = 5 300 000 / 265 = 20 000 hospital beds in finland for germany, we follow the same procedure, using its data from the table: if 101 inhabitants have 1 hospital bed, then 82.2 million inhabitants will have x hospital beds. 101 82 200 000 101* x = 82 200 000 * 1 x = 82 200 000 / 101 = 813 861 hospital beds in germany finally, we can compare this amount with the value for finland to answer the question 'how many times more hospital beds were there in germany than in finland'. as we already know, to obtain the relation or ratio between two values, we use the division. in this case: 813 861 / 20 000 of course you could use the calculator again and get the exact result (40.69) that is very close to only one of the answer options, being this, therefore, the right one: a) 40 times. but, before doing that, you could also have a look at the other options, which are really far apart, so it would be faster here to use approximate values: 813 861 is close to 800 000, and 20 000 is already a "round" value. 35
therefore, we can black out the two rows and one column containing the data that we do not need, in the following way: data on hospitals in various eu countries, 2002 country number of total population inhabitants per one hospital bed (million persons) finland 265 5.3 germany 101 82.2 note that, as we explained in our previous book, it is frequent that epso numerical tests provide you with more information than you really need (obviously a pitfall), to check if you are able to select the right data. so applying this technique will be very useful to you to avoid potential mistakes with the data collected. now, we should calculate the number of hospital beds in germany and in finland, to be able to compare both values. for finland, we see that there are 265 inhabitants per 1 hospital bed. how many hospital beds will there be for the whole population (of 5.3 million)? as you will have guessed (after practising a lot with our first book!), we simply have to use the rule of three here: if 265 inhabitants have 1 hospital bed, then 5.3 million inhabitants will have x hospital beds. 265 5 300 000 x 34
Letzte Aktualisierung: 2021-03-24
Nutzungshäufigkeit: 1
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