Sentences with phrase «data point in question»

I honestly didn't think it would be so hard to get to the starting point, an agreement that the data point in question does appear to be rather normal.

Not exact matches

For instance, Facebook has used R in predictive analytics to answer questions like «Which data points predict whether a user will stay?

To calculate your value of a Facebook Like, you can easily answer these questions using your Facebook Insights and your closed - loop marketing analytics (in the calculator, click the question mark next to each question for an explanation about how to acquire each data point).

SEC chairman Jay Clayton, in response to Cotton's question, pointed to applications in the areas of data verification and record - keeping - i.e., using the technology to create distributed records of information - as particularly notable use cases.

We put the question to 207 sales and marketing professionals in a director position or above, and published our findings in a resulting study of 80 + individual data points and datapoint combinations.

Throughout 1977 DCS staff, working with the panel, collected data on energy use and production, generated papers representing different points of view on basic energy questions, and held smaller consultations with subgroupings in the larger panel.

Former NCB True Believer, if the claim in question is «breastfeeding lowers the rate of allergies,» then the data points sleuther and I presentd aren't particularly relevant.

I followed up this contradiction and the failure to publish the data with a Point of Order to the Speaker on 24th June, in a Westminster Hall debate on 30th June 2015, in a letter to the Prime Minister on 14th July, in a second Point of Order on 15th July, in an urgent Written Question to the Prime Minister on 16th July and in an Urgent Question in Parliament on 21st July.

Here's yet another data point on how much the Ultimate Fighting Championship league wants to legalize mixed - martial arts in New York: The UFC today released its code of conduct after a letter from anti-domestic violence advocates to Assembly Speaker Sheldon Silver raised questions about the sport.

Today, researchers at the annual meeting of AAAS (which publishes Science), previewed data from a recent poll showing that when the word «human» is replaced with «elephant» in the evolution question, 75 % of Americans agree — about 25 percentage points higher than before.

The research adds one important data point to the ongoing question of how much methane, a greenhouse gas with a warming potential 25 times that of carbon dioxide, is emitted in the life cycle of natural gas production, transport and use.

The debate centres on the finer points of flower architecture, but points to a broader concern about using statistical models and large data sets to tackle biological questions, says Pamela Soltis, a plant biologist at the University of Florida in Gainesville.

This was segmented into three other moments which call tests, in order to facilitate the study and the large number of data associated with each point in analyzing the music in question.

Leading underachieving students in poverty to success involves asking the right questions, finding the leverage points, deploying resources effectively, optimizing time, and sharing data effectively.

Pre-assessments may be used to collect baseline data, but there are several other ways to determine students» starting points as mentioned in the preceding question.

The program in question, the Illinois Shared Learning Environment (ISLE), may collect up to 400 «data points» about each student, information that may potentially be shared with for - profit companies.

For example, in the eighth - grade data from the US National Assessment of Educational Progress [NAEP] show that students continue to struggle on very straightforward algebra problems: Only 59 % of 8th graders were able to find an equation that is equivalent to n + 18 = 23, and only 31 % of 8th graders were able to find an equation of a line that passes through a given point and with a negative slope (National Assessment of Educational Progress, Question Tool, 2011).

While abundant data provide a firm analytical rebuttal to those who question the need for SEL or its effectiveness, perhaps what we should also always remember is that this movement is all about the individual children whose lives hang in the balance behind the data points, waiting for us to open the gates to successful learning for each and every one of them.

The math standards require first graders to be able to» [o] rganize, represent, and interpret data with up to three categories; ask and answer questions about the total number of data points, how many in each category, and how many more or less are in one category than in another.»

What became evident in the researching process, is that while Minnesota collects and reports on many different financial data points, there are currently not clear answers to these critical questions and we need more financial transparency.

While the data showed that $ 2.99 seemed to be the most popular price for authors to set, additional data asked the question if $ 3.99 was not actually a more effective price point in terms of finding new consumers interested in purchasing the book.

Organize, represent, and interpret data with up to three categories; ask and answer questions about the total number of data points, how many in each category, and how many more or less are in one category than in another.

Writing in Digital Book World, Dana Beth Weinberg points out that there are a number of questions about Howey's data, even beyond the potential flaws that you'd already noticed.

Point in time data like this is can provide interesting info and food for thought, but it is unable to say a lot about this particular question because you have to dig a bit deeper to fine tune your conclusions.

In fact, this overweening clamor for raw data seems to miss the obvious point that if Mann or Briffa or the legions of others working in this arena are so wrong in their conclusions, it should be an easy task to disprove their claims using various experiments entirely independent of the data in questioIn fact, this overweening clamor for raw data seems to miss the obvious point that if Mann or Briffa or the legions of others working in this arena are so wrong in their conclusions, it should be an easy task to disprove their claims using various experiments entirely independent of the data in questioin this arena are so wrong in their conclusions, it should be an easy task to disprove their claims using various experiments entirely independent of the data in questioin their conclusions, it should be an easy task to disprove their claims using various experiments entirely independent of the data in questioin question.

The number referred to is the number of data points; I interpret your original post as implying that you believe the value of the number is the small number in question — i.e., because 7 or 10 is a small number, the distinction is obscure.

The question is, given that datum point (the bronze age river) and being able to estimate from river flows, etc. the likely distance to the sea, what sea level rise would you propose for the Bronze Age in the Eastern UK?

He also points to a recent paper that had questioned Christy and Spencer's decision to use preliminary data in their congressional testimony while it was still in the peer review stage: [44]

The carefully - concealed errors in the paper, especially when taken together with the University's refusal even to reply to my own questions about the methodology even before it was published, as well as its refusal to order the immediate release of the authors» data to Professor Tol, would be likely to persuade any jury that a fraud has taken place, for the points at issue are not complex matters that could be debated either way.

In case you doubt the importance of question 3, consider this: In the UAH text file, a monthly data set lasting 31 years, there are approx 370 points for each column.

This follows on from similar points made by Steve Goddard, and another article by Harold Ambler which tries to show how DMI is based on more data measurements than GISS, again providing a setting to raise questions about the reliability of GISS gridded values in the Arctic.

(As propaganda depends on quantity and repetition... The truth just needs to be heard by a thinking mind...) So truthful questions and truthful evidence and truthful doubts and truthful counter points are attacked, vilified (usually «attack the messenger»), deleted, and drowned out in a flood of non-sequitur and appeal to authority arguments... (Another useful tool, btw, is just to measure the number of Logical Fallacies vs correct logical syllogisms... the more LF the more it's propaganda... the more correct logical syllogisms, data included btw, the less propaganda and the more honest science... but I haven't named that thought tool yet... Perhaps the LF Ratio?

I think many Bayesians would point to their approach being better at answering the pertinent questions that arise from the problem being analyzed and being more accommodating in using current and future data.

This is especially true since the data in question isn't necessary for McIntyre's point.

Thank you for making my point with yasq (yet another stupid question) However, if you want to contend that the data did nt matter and that jones was justified in his actions, then you have just walked yourself into an odd corner.

In short, while I acknowledge your point of data accuracy weakness in the 1st half of the 20th, I think the period in question is a very interesting one that deserves more investigatioIn short, while I acknowledge your point of data accuracy weakness in the 1st half of the 20th, I think the period in question is a very interesting one that deserves more investigatioin the 1st half of the 20th, I think the period in question is a very interesting one that deserves more investigatioin question is a very interesting one that deserves more investigation.

I have questions about the use of change point algorithms that have not been answered to my satisfaction to date and I have a great deal of interest in the benchmarking of these various algorithms by testing against realistic simulated data where the truth is known.

I believe the current length is about 2,000 years and for the earliest portion it is impossible to resolve fine scale questions — in fact only the most general questions can be informed by the sparse grid of data points available and some regions are white space — no estimate possible — and errors of estimation are large for the available points.

Lewandowsky has a habit of raising fundamental truths1 and asking pertinent questions, yet then for the climate change domain turning psychology (and according to analyses his data and ethics too) on its head in order to ensure an agreement with his über - orthodox viewpoint on risk2, rather than embrace outcomes that the fundamentals and questions actually point to.

The question is, have we reached a point of no confidence in the data because too much has been lost?

2) Steve's point was NOT that the Polar Urals was better but that no one ever showed why it was never used (plus there is some question as to which instrumental data were compared to in order to find a high correlation with local temperature).

Naive question here: Where is UHI in this 122,000,000 data point record, or can it be isolated?

The second question is, postulating that the temperature record from satellites is absolutely accurate and unfudged, and in light of the fact that climate changes historically occur naturally with periods of hundreds to thousands of years, do you think that the 31 annual data points available from the satellite record are adequate to establish long term climate trends and that the trends are a consequence of human activity?

My guess is you don't know and your amateur attempts to build a structured system have become so hopelessly complex and interwoven (spaghetti) that at this point you can't unwind it to produce a simple answer to a simple question — where does raw monthly average data for Portland - Troutdale for the year 1950 come from and how is it processed such that it ends up 0.7 F cooler than the what the station keeper recorded in his monthy reports?

From this starting point, and the data in the graphs above on this page that assume a pre-1800 CO2 level of 280 ppmv, we should be able to determine how many ppmv's of CO2 were emitted by man at any particular year in question, right?

«Given the controversy over the veracity of climate change data,» Sammon wrote, «we should refrain from asserting that the planet has warmed (or cooled) in any given period without IMMEDIATELY pointing out that such theories are based upon data that critics have called into question.»

Back in 2009, one of the network's top editors ordered journalists to «refrain from asserting that the planet has warmed (or cooled) in any given period without IMMEDIATELY pointing out that such theories are based upon data that critics have called into question.»

I also question the notion that misrepresenting the existing body of evidence counts as either a «critique [that] centers on specific innaccuracies in various models, some data insuffuciency points», or «extremely important and healthy to this situation», or «in fact raising good questions».

In January 2012, climate researcher Trevor Prowse put questions to the Bureau of Meteorology about the results charted above, making the point that as the 14 tidal stations are mostly free of urban heat effect, all are at sea level and are well scattered around Australia, they may be more accurate than any other land - based data.

[Response: A further point here is that the Law Dome data are more extreme wrt the CO2 drop in question, than are other high res.