Sentence examples for gauge whether or from inspiring English sources

All eyes will be on this week's Bank of England and US Federal Reserve meetings to gauge whether or not this is so.

It is difficult not to sympathise with Paletta's response to the media's routine questioning of oriundi in an attempt to gauge whether or not they feel Italian.

The tax was brought in for so short a time that it is impossible to gauge whether or not it will bring in money to the treasury.

So, one morning before Old Trafford, I arrive at work – dressed in obligatory summer attire of awful polo shirt and silly pale trousers – and, as usual, tentatively –poke my head around the door to gauge whether or not I'm welcome.

Special Branch summoned Morrissey in the wake of his 1988 album Viva Hate, featuring Margaret on the Guillotine, "so that they might gauge whether or not I pose a security threat to Margaret Thatcher".

In the view of these informants, English certificates represent a convenient yardstick to gauge whether or not a person's English has reached a particular standard.

The final video, just one minute long, shows the artist's father standing outside on a bright fall day, exhaling onto a mirror — an age-old method for gauging whether or not someone's alive.

The concept compliance mitigation gauges whether or not the nonadherence has contributed to the severity of the presenting condition.

Boockvar says that revenue indicates the effect that an economic slowdown will have on a business because it gauges whether or not they're selling products.

A close watch of the impact on Europe of the volcanic eruption in Iceland, the North American hurricane season and the drought in South America will be important to gauging whether or not food and energy commodity prices will rise sharply and threaten the global economic recovery.

A second strategy for gauging whether or not to take into account between-study (statistical) heterogeneity when performing an MTC analysis is to fit both a fixed-effect and a random-effects MTC model to the data and then compare the resulting model fits using a measure of model fit adjusted for model complexity (eg, deviance information criterion).