Sentence examples for likely to know when from inspiring English sources

Usually, they will be contacted by creditors, who are most likely to know when a company is about to breach its bank covenants.

The shift to using social media on mobile screens means that parents are now even less likely to know when their children are being exposed to certain types of ads.

If there is a difference in kind between the contributions of the two, it is that Nichols, as the one less likely to lose himself in what he is doing, is the one more likely to know when the moment has come to change the direction of a scene or to end it.

Also, if you have a look at the company's annual report or can keep an eye on the business news, you are more likely to know when new needs emerge within that company.

For the consumer, you are not likely to know when you are seeing an ad served through LinkedIn's audience network: there will not be any branding and they will appear "native" to the mobile app where you are seeing them.

But since you're not likely to know when your show will actually air until within 60 days of its launch date, you have to make sure your professional obligations at home are met before the shit hits the fan.

The challenge facing CMOs is threefold: what does greater value and impact look like, how can CMOs lead the change, and how likely they are to know when they've accomplished it?

GNP guides know much more than teachers about the local connections between Galápagos, Darwin, and evolution (e.g., guides are more likely than teachers to know when Darwin was in Galápagos and how many islands Darwin visited; see Table 3).

Female GPs were more likely than male GPs to know when to re-test a patient after a negative chlamydia test (18.8% versus 9.7%, p = 0.01), were more likely to correctly know the symptoms suggestive of PID (80.5% versus 67.8%, p = 0.01) and which tests should be used for diagnosing PID (57.1% versus 42.6%, p = 0.01).

Female GPs were more likely than male GPs to know when to re-test a patient after a negative chlamydia test (18.8% versus 9.7%, p = 0.01), the correct symptoms suggestive of PID (80.5% versus 67.8%, p = 0.01) and the correct tests for diagnosing PID (57.1% versus 42.6%, p = 0.01).

Car data customers can range from energy companies and fleet operators to retailers like Starbucks and McDonald's, who want to know when you are likely to purchase your next coffee or burger.