Sentences with phrase «sorts of data points»

And Vilsack's solution really solves that problem, because all sorts of data points could be embedded in a barcode.

I think it's helpful to have all sorts of data points so we all know what's normal, and what's normal but needs some extra help.

Not exact matches

I said nothing of the sort, I only pointed out that census data was misused by Nazis for their own evil purposes, as it was misused by the American government (and possibly the Canadian government) for the purposes of interning their citizens of Japanese descent (which, to the credit of the US Census bureau, it has apologized for).

The Times looked at two sorts of historical data — the closing prices of the S. & P. 500 - stock index as well as the highest and lowest points the index reached during each trading day.

(At least the ones that use data, and that's sort of the point here.)

The point is that the data point in all sorts of directions!

While I'm sure people will disagree on what sorts of policies will work best, and there is no data I'm aware of to go by, a good starting point seems to be constitutionally mandated qualification and disqualification conditions for candidates before they can go on the ballot.

That's an enormous amount and [there's] probably [a] customized the application for just what you want and so even though, with the idea, you don't even have to write your own application, you can find a sort of a general -[purpose] application that you can point to and say, this [is what] you might want to subscribe to that can be [fed] with live data.

If the American public understood that the very concept of education was being disfigured into a mechanism to apply standardized testing and sort their children into data points on a normal curve, it would be hard to sell the corporate idea of reform.

Similarly, taxpayers desire information about the performance of their schools, and neither parents nor the taxpaying public should have to manually sort through data on each individual school (clicking through websites and eye - balling each individual data point) in order to get a sense of their performance.

For Canadians, it will be interesting to see which models get picked up by which carriers, their respective price points and what sort of data speeds they will run.

«Regardless of the point of view you take, having this sort of quantitative data is critical.»

So your estimate is just some sort of meaniungless, maximum value The issue here, as I keep pointing out, is that there is no CO2 signal in any temperature / time graph, from data of the 20th and 21st centuries.

A group of people analyzing sea level data points from satellite altimetry, where the errors inherent in the methodology are greater than the absolute trend itself and all sorts of adjustments must be made to get anything out of the raw data, are in much worse shape than the guy making the mark in stone.

I find this same sort of faith in many of my students who never took a data point nor built a sensor, but they do write excellent, complex, completely opaque, computer programs.

If I go out and measure something, anything, and plot the points of a piece of graph paper, and the points may lie on a straight line, some sort of curve, or there may be so much noise in the data that no trend is apparent, then this is what fits the data.

Each data point in a pre-election survey suffers from all sorts of imperfections.

And you have to open up your mind to all sorts of claims, such as the one that starting in January of this year, global warming has accelerated to the point where the warming rate is now 0.4 C per year... which is roughly what I just read us the trend in the UAH data since that time.

Another points worth mentioning when comparing temperature series is that there was some sort of instrument change in the satellite data around 1992.

The Oliver Wyman team said the climate data insights contributed by the three scientific organizations that helped with its banking industry project — including models that are still unpublished but that should emerge in the near future — point to the need for new sorts of scenarios that can be used for risk planning.

This is my point — we don't need a complicated model of the earth's climate because it is clear from historical data that the earth's climate is in a powerful negative feedback loop which keeps the clmiate very stable, and we can find out all sorts of things about how this negative feedback loop responds to changes at its inputs by looking at past data.

assuming what you say about skeptics changing topic as you describe is accurate, and at this point I do we are talking about data that is less than 200 years old, out of which extraordinary claims are made as to how that data relates to distant past and future trends tough sell assuming that all adjustments to the data are scientifically sound, It is very difficult for me to believe that measurements that have gone through so many iterations can be trusted to.0 and.00 in most other sciences, I doubt they would tough sell (the photo of the thermometer is downright funny) in terms of goal post moving I observe predicted heat being re-branded as «missing» a prediction of no snow re-branded as more snow a warming world re-branded to a «warm, cold, we don't know what to expect» world topped off with suggestions that one who thinks the above has some sort of psychological disorder extraordinary claims demand extraordinary evidence especially when you are teaching children that their world is endangered

I mentioned this sort of point recently in connection with Antarctic cooling, where readers need to keep in mind the frailty of early Antarctic data, which might well permit reanalysis — and so - called «cooling» might well depend on frail data.

The point of this remark is that no one up to present date has conducted any analysis of this sort on the ice core data, therefore my assertion that currently «you have no data of adequate quality from past proxies, so the argument of «unprecedented» growth can not be used» is perfectly valid and is true.

Think of it like all of the data on your device being jumbled up to the point where it's meaningless to an outsider, but once a password has been entered, it all sorts itself out and falls back into place automatically.

Rank & Grade — All neighborhoods are then sorted into five rankings from A + to D, depending on the neighborhoods correlation to risk and reward.To simplify our millions of data points, HomeUnion has developed an effective rating system.