Sentences with phrase «large number of data points»

«There has never been a pause in global warming unless you try to create one by looking at an insufficiently large number of data points,» said lead author Stephan Lewandowsky, a social scientist and professor of psychology at the University of Bristol in the U.K..

Activities to help learners of secondary mathematics to interpret frequency graphs, cumulative frequency graphs and box and whisker plots for large samples and to see how a large number of data points can result in the graph being approximated by a continuous distribution.

(As expected, thanks to a larger number of data points the latter curve is a bit smoother but lags the former one.)

another way of asking is does having a larger number of data points automatically decrease the margin of error?

Applying the test to the monthly data, the larger number of data points would have given this more precise result:

Not exact matches

Members of the Council pointed out that further GDP revisions are possible for 2015, with the release of 2015 tax data in 2018 having the potential to cause the largest update to the 2015 numbers.

«Our synthesis of data from a large number of observation points across the globe is unique and serves an important need.»

From his own research in chemical oceanography, along with data from a number of recent studies, Weber points out that some negative consequences of greenhouse gas emissions and warming «are manifesting faster than previously predicted,» including ocean acidification and oxygen loss, which are expected to affect «a large fraction of marine species if current trends continue unchecked.»

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.

Plaintiffs in these lawsuits say they favor high standards and accountability and then point to data showing that large numbers of students in urban districts fail to meet heightened standards.

Numbers from the largest available database of classroom observations, and the striking conclusions experts draw from more than 2 million data points

You will see that while there are a large number of individual data points to collect, this data is readily available if you know where to look.

The ``... uneven spatial distribution, many missing data points, and a large number of non-climatic biases varying in time and space» all contribute inaccuracies to to the global temperature record — as do errors in orbital decay corrections, limb - corrections, diurnal corrections, and hot - target corrections, all of which rely on measurements (+ - inherent errors), in the satellite temperature records.

My point of these numbers is that the predicted impacts are large enough that someone should be able to prove this model works by evaluating the observed health effect data.

«Our synthesis of data from a large number of observation points across the globe is unique and serves an important need.»

Despite uncertainty and confusion about the numbers, the 2016 data is one more piece of evidence that China will not return to the days of skyrocketing coal consumption for good, and that the world's largest CO2 emitter is on the right path to start reducing its emissions permanently at some point in the coming decade.

My point at that time was that the number of CRN 1 and CRN 2 stations was very small and that given the noisy data for temperature trends amongst even closer spaced stations meant that in order to see a statistically significant difference due to CRN rating would require a very large difference in trends or a larger number of stations in those classifications.

The purpose of this was to see how 38 % is comparing to this ratio - I do suspect that when you have to determine the likelihood of a record in a large data set, one would expect to likelihood to decrease with number of data points participating in a «race» increasing.

The relationship between proxies and temperature is weak and the number of proxies is far larger than the number of target data points.»

The number of data points was not large, but the difference is significant at a level of α = 0.05 (p - value = 0.016).

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