Sentences with phrase «of data points often»

She also knows that the distance between students and graduation may be explained by a variety of data points often unrelated to their academic ability.

Not exact matches

«The readability and visualization of the data your BI collects is not only advantageous for your tech team, but often times the reports that the BI summary creates will need to be seen by other people - executives, future vendors, investors, etc.,» points out SelectHub, a service for enterprise software product evaluation.

Founders often see a handful of data points and believe that a new normal exists.

Yet even though anchors often have little direct relevance on where a data point should currently reside, they nevertheless influence our perceptions of reality and can take concerted effort to raise once they have become firmly secured.

When lead qualification is an entirely manual process, you're asking your sales reps to digest and analyze a jumble of various points of data, often from wildly diverse sources, and then make a judgement accordingly.

We read scripture searching for attributes and end up interpreting things out of context often as we search for data points to or against our hypothesis of God.

He also points out that scan data from supermarket sales is often used to quantify the U.S. market, but it only looks at a portion of the market (a portion of off - premise sales).

The Saints remain one of the NFL's stronger teams — and can still blow out many teams — but in match - ups like this, more often than not, the data suggests that the home underdog will cover the point spread.

He raised several good points, from the power of organizing local blog networks to the fragmentation of online media into many niches to the need to combine data that has often been hidden in silos.

It is often at this point that the trade deficit between the UK and the EU is quoted: «We exported about # 230 billion worth of goods and services to the rest of the EU in 2015, according to UK data, while the rest of the EU exported somewhere around # 290 billion to us.»

Gangi points to bias in law enforcement, citing data that shows while stop - and - frisks or arrests for certain offenses may be down, racial disparities remain, with people of color stopped or arrested far more often than white people.

Thus, scientists often make climate projections at coarse spatial resolution where each projected data point is an average value of a grid cell that measures hundreds of miles (kilometers) across.

Other studies often used to justify a low - fat diet, including The U.S. Multiple Risk Factor Intervention Trial (MRFIT) and the Lipid Research Clinics Coronary Primary Prevention Trial (LRC - CPPT), are also misleading examples that used omissions of key data and statistical lies to «prove» their points.

And while doing the health tests are invaluable — all my clients are required to get bloodwork and often additional testing * — those data points are only a piece of the puzzle.

They were also able to see how the numerous data points on the map, representing the collected observations of thousands of fellow students, could add up to stunning and often original natural insights.

According to a Pew Research Center report, gamification is «interactive online design that plays on people's competitive instincts and often incorporates the use of rewards to drive action — these include virtual rewards such as points, payments, badges, discounts and free gifts; and status indicators such as friend counts, re-tweets, leaderboards, achievement data, progress bars and the ability to level up.»

This mastery is often missed when summative (end of course) multiple choice testing, based primarily on memorization, is the only data point.

The components may make sense from the teacher's point of view as we often use these components when it comes to analyzing data to drive our instruction with peers or in PLCs.

The reports were thorough and the authors often uncompromising, pointing out how planning too often becomes «a box - ticking exercise creating unnecessary workload», and data collection «an end in itself, divorced from the core purpose of improving outcomes for pupils».

Charter critics often point to data showing that only 17 percent of charters outperform nearby traditional public schools, but proponents say closures are evidence that charter - school laws are working.

The data on test scores and indicators like graduation rates are generally more complicated than the political debate allows and there has been progress and it's too often not acknowledged (and cherry picking of NAEP data is a pandemic in the ed world to make various points)...

Finally, the ever - important book discovery was another often discussed topic, with very interesting data points presented in a number of panels.

While the plural of anecdote isn't data, there comes a point where something happens often enough that one has to believe there's something other than divine intervention at work.

Using a proprietary risk model, LendingPoint combines hundreds of data points with algorithms to get a more complete financial story, often leading to approving those who might otherwise have been declined based on their credit score alone.

I think that when analyzing a business or a special situation, this is one of the most important things to remember: there are many complicated aspects to analyzing a business — hundreds of data points, thousands of potential outcomes, pages and pages of SEC filings — all which often create a fuzzy view of the future.

And data from communities and countries that sterilize community dogs show the same results: a decline in the number of dog bites, with «officials point [ing] to a variety of factors: the obvious effect of sterilization on dog behavior, including behaviors associated with mating, reduced numbers of dogs and reduced home range of individual dogs resulting in fewer chance encounters with humans, an increased respect and thus kinder treatment towards dogs due to the positive role model of rescuers, and the impact of community education by rescuers that often accompanies these efforts.

He often combines this with archival material he avidly collects, all of which is from different points of time and origins, such as instructional photography found in workshop manuals and reference books, advertisements, colour charts, data sheets and found imagery.

Another important point that is often forgotten in the discussion: The data hole in the Arctic that explains part of the reduced warming trend (maybe even more than previously thought).

He cites unscientific rubbish (e.g. papers in Energy & Environment), uses outdated data, makes unsubstantiated and often demonstrably incorrect claims (e.g. about volcanoes producing more C02 than humans), uses various talking points that have been debunked long ago e.g. no warming for 10 years, NASA now claims the 30's were hotter — stuff that should be obviously wrong to anyone with a bit of scientific literacy.

My other point is that much like skeptics are often accused of not being willing to accept conflicting data, I am saying that the warmist crowd is equally unwilling to accept conflicting data.

Indeed, having personally read each and every one of the emails liberated from the Climategate Research Unit at East Anglia in the UK and all the Freedom of Information emails from NASA - GISS in New York, it is clear to me some of those scientists have violated their ethical obligations to both science and we taxpayers who fund their work by «cooking the books» to fudge and bend the data, often beyond the breaking point.

Climatologists are often frustrated by accusations that they are hiding data or the details of their models because, as NASA's Schmidt points out, much of the relevant information is in public databases or otherwise accessible — a fact that contrarians conveniently ignore when insisting that scientists stonewall their requests.

Which brings me to the point that surely you can agree with Jennifer on: In general the public debate should involve a lot more looking at the actual data (cf. business & economics reporting) than the «meta - debate» we so often see currently, and specifically that «ultimately, good policy is going to require that a much larger percentage of Australians have a higher level of scientific literacy.»

The FFT is a poor choice, because is requires the data to be evenly spaced in time (which often it is not), and requires the number of data points to be a power of 2 (which it almost never is).

While these data are most often interpreted in the context of a linear trend, it is instructive to interpret the record in the context of a (qualitative) change point analysis, defined by changes in trend, mean value, amplitude of the annual cycle, and interannual variability.

That task is not automatically made any easier, however, by the presence of a simple search tool as an access point to an increasingly large database, particularly when the data remains raw and often unmanageable.

Some commenters pointed out that often only a few data elements or a single element is extracted from the patient record and disclosed to a researcher, and that having to account for so singular a disclosure from what could potentially be an enormous number of records imposes a significant burden.

Even now, some of the best practices coming from regulators and technology consultants are pointing to more centralization — a «single, accurate, and aggregated view of the customer» that can be tracked throughout the lifetime of that customer as details, investment goals, and needs change — a way to link a client address to the deals and cases they have on the go, to the communications, and often sensitive data, that is shared during those interactions.

Often revenue for ICOs are generated a long way down the track, if at all, so data should be a primary focus of any ICO as a major selling point to investors in the absence of early revenue initiatives.

In a job or internship search, your story — which includes a brief statement of your background and interests — plays a valuable role; it is often the first data point employers have about your candidacy.

We will exclude trials with treatment duration of less than 4 weeks, because the onset of benefit for most antidepressants often takes at least 4 weeks.31 If a study presents data for more than one time point within our predefined acute phase window or beyond 16 weeks, the 8 week (or the closest to 8 week) will be taken as the time.