Sentence examples for approximately would have from inspiring English sources

This extra heat production, twice present-day at approximately, would have increased temperature gradients with radius, increasing the rates of mantle convection and plate tectonics, and allowing the production of uncommon igneous rocks such as komatiites that are rarely formed today.

Of this, approximately £117 would have been money well spent, which is just over half.

Some observers predicted that by 2010 more than 20% of the financial industry's global cost base, approximately $400 billion, would have been outsourced to LDCs.

"We estimate for every 10,000 people who used an e-cigarette to quit, approximately 580 would have quit who wouldn't have quit otherwise," said Robert West, co-author of the study and Professor of Health Psychology at University College, London.

These results are very similar to a recent Swedish study [ 30] showed that 56% of women had been through a postpartum "consultation" and that approximately 25% would have liked to have had a consultation.

If there were no breast cancer deaths, for each 10,000 women born in 1920 24 approximately 93 would have been saved before arriving at age 70, and 118 women for the cohort born in 1930 34.

The overall computational time required to train the response surface is equal to 18 days approximately, whereas approximately 60 days would have been necessary to perform one optimization using the full model instead of the meta-model.

What is not in doubt, however, is the massive increase – 10% approximately –that Froome would have achieved in his power-weight ratio, by dint of losing fat while maintaining his muscle power.

In the case discussed, absence of hormonal replacement (approximately 15 years) would have contributed.

In 2003, a screen with approximately that resolution would have run you $8,400, and would only refresh 12 times per second.

It was expected that approximately 667 patients would have to be screened in order to obtain 600 randomised patients, assuming an approximate rate of 10%% screening failures.