Sentences with phrase «statistical error of»

If there's a statistical error of plus or minus 0.4 degress C then he can't claim the warming has stopped.

However, world average temperature measurements are subject to an error of plus or minus 0.1 degrees, while any attempt to calculate a trend for the period 1997 - 2012 has an in - built statistical error of plus or minus 0.4 degrees.

Splitting the neutral evenly in the EdNext poll produces 71 % support, 36 % opposed, a result that is probably within the margin of statistical error of the PDK finding.

At the end of his famous report, Henry Cavendish said of another estimate of G, which deviated from his by 22 percent, well outside his estimated statistical error of plus or minus 7 percent: «[It] differs rather more from the preceding determination than I should have expected.

Not exact matches

Further, there's a good chance the hot hand is more substantial than we estimate due to another subtle statistical issue called «measurement error,» which we discuss in the appendix of our paper.

Remember, even in China, the balance of payments has to balance — the sum of current and capital accounts must be equal to zero (with adjustments and statistical errors, of course).

While statistical margins of error are arguably not applicable to online panels / online studies of this nature, we have assumed that the same margins of error apply as if it were a true unweighted random probability sample with a margin of error of + / - 3.7 percentage points, nineteen times out of twenty.

The statistical margin of error for the sample of n = 1,507 Self - employed workers is + / - 2.5 %, assuming that participants are the same as non-participants.

Very often, this is just the result of an honest statistical error that leads to a desirable outcome, and therefore it isn't checked as deliberately as it might have been had it pointed in the opposite direction.

Even those with the best of intentions have been caught fudging measurements, or making small errors in rounding or in statistical analysis that happen to give a more favorable result.

Due to the limited statistical and methodological certainty allowed by biological science, the occurrence of technical errors in biological experiments, the differences between human and animal embryo development, the rapidity by which the cloning procedure produces a totipotent zygote, and the philosophical and theological nature of the question, there is no biological experiment that will prove with moral certainty that a human zygote never exists during the OAR procedure.

If statistical power is high, the probability of making a Type II error, or concluding there is no effect when, in fact, there is one, goes down.

I also forgot to point out how she gives no margin of error or statistical significance of her data.

They may do so out of fury, anxiety, scorn or an earnest desire to correct your statistical errors — but if your goal is to increase your hit rate or impress your editor, producer or publisher with something that's widely discussed, where's the downside?

The changes we've seen over the last couple of months have been within the margin of error, meaning that changes can be explained away by statistical chance rather than true shifts in sentiment.

For the 2013 local elections however, the margin of error is so wide as to cover almost the entire range of probabilities — perhaps the statistical equivalent of shrugging your shoulders and admitting you haven't got a clue.

The margin of error was not released, but the poll of 400 likely voters is considered a statistical tie.

In addition, Hanna's favorability increased from 64 percent to 68 percent (within the statistical margin of error), while is unfavorability dropped from 23 percent to 14 percent.

Among those who had heard of both candidates, Wilson was slightly ahead, 35 - 33, although the margin of error for the poll is 3.4 percent, so that's technically a statistical dead heat.

Peralta's camp noted the margin of error, saying what the poll «essentially says is that back in January you had a five - way statistical dead heat.»

With the aid of complex statistical techniques, he and his collaborators were able to identify the optimal evolutionary model, given the nature of the available data, and they employed a new method to correct for systematic errors.

The researchers were able to model that intuitive distinction as a statistical relationship between a mathematical model of an object's motion and the «noise,» or error, in the visual signal.

That match, with only a 1 - in - 100,000 chance of being caused by a statistical error, virtually eliminates any possibility that B - sub-s meson decay is related to interaction with particles predicted by dark matter theories, as some physicists have suspected.

David Williamson, an epidemiologist at Emory University in Atlanta, says that the researchers don't furnish the usual indicators of statistical significance for their projections, such as error bars.

The method uses statistical analyses to identify critical patterns that measure the rate of diagnostic error and could be incorporated into diagnostic performance dashboards.

I was not responsible for the statistical component of the project (statistics is definitely not my forte), but I did notice a substantial error in the data that affected the client's conclusions.

The causes of such unpredictable results, Harris said, can include bad ingredients in the lab, including contaminated and misidentified cell lines; poor research design, including insufficient numbers of mice in animal studies; statistical error and overreach, including «HARKing» (hypothesizing after the results are known), a push beyond the limits of the data; and funding pressures, which can lead scientists to hype or exaggerate their results to remain competitive for additional grant money.

This is intended to take account of some of the uncertainties inherent in data on whale populations, and requires only two kinds of data: current estimates and their statistical error; and historical details of catches.

We can confirm this by doing statistics for a lot of measurements and calculate the statistical standard error of the mean, which in our case is 850 zeptoseconds.»

Using a Bayesian statistical technique to narrow the margins of error, she concluded that the oldest human occupation was 65,000 years ago, with a range of about 60,000 to 70,000 with 95 % probability.

Right now, researchers must haplotype by analyzing genetic material from large families, or in their absence track gene frequencies in lots of individuals, a statistical process that is «prone to error,» says geneticist Andrew Collins of Southampton University in the United Kingdom.

They applied statistical corrections to reduce the risk of drawing false connections between very rare and very common diseases, as any errors in diagnosis will get magnified in such an analysis.

The error rate of all algorithms is greatly reduced by using statistical scores to evaluate matches rather than percentage identity or raw scores.

In this article, we demonstrate that failing to consider plate effects in the statistical model results in loss of type I error control.

Three pools of 10 blastocysts / group were analyzed; a and b indicate statistical differences for each gene transcription at P < 0.05; error bars represent SEM.

Unfortunately, studies that advocate a low - carbohydrate diet for improved cardiovascular health are often fraught with errors, including conflicts of interest, short - term study design, statistical bias, and misleading language.

This current article is subject to the statistical errors as eloquently enumerated & discussed most recently by S Shapiro PhD (U of Capetown) regarding the UK «Million Women's Study»; about the use of postmenopausal hormones, the subsequent development of breast cancer, and the correct statistical approach.

When an operational glitch results in a failed delivery of the girl's gift, Steve is willing to chalk it up as a minor statistical error and leave things as is.

Even with this methodology and controlling for measurement error and other variables, Krueger and Lindahl found that the effect of the change in schooling on growth did not always pass standard tests for a significant statistical relationship.

However, because these reports are generated from complex statistical methods that rely on inaccurate or incomplete data and have wide margins of error, more responsible use of these reports is needed to reap their benefits — and minimize their risks.

However, because these reports are generated from complex statistical methods that rely on inaccurate or incomplete data and have wide margins of error, more responsible use of...

However, the fact that we find very «precise zeros» — that is, we don't find statistically significant relationships even though we have the statistical power in our data to detect even very modest relationships — implies that neither measurement error nor a lack of sufficient variation are what's driving our inability to detect a relationship between teaching and research quality.

Sampling error is not really «error» in the common sense of the word, but statistical noise introduced by inferring national scores from a random sample of test takers.

The teacher who hopes to get students generating hypotheses will first need to cover and identify logic and faulty logic, errors of attack, weak reference misinformation, media influence, and statistical limitations.

The standard error of measurement is a statistical phenomenon and is unrelated to the accuracy of scoring.

Researchers have known about this for some time and have been wrestling with how to measure the effect of pupil clustering by ability — at its most extreme in grammar schools — without falling for phantoms (i.e. results caused by statistical error).

Comparisons are based on statistical tests that consider both the magnitude of the difference between the group average scores or percentages and the standard errors of those statistics.

All comparisons are subjected to testing for statistical significance, and estimates of standard errors are computed for all statistics.

On purely statistical grounds, it's hard to justify publishing point estimates of teachers» value added in local newspapers, especially without including any information regarding the margins of error.

Next, we'll consider two sources of error: statistical bias and statistical imprecision.