Sentences with phrase «averaging data within»
The financial aggregates are likely to become somewhat more volatile in coming months, due to a change to reporting arrangements that will remove some of the smoothing effect generated by averaging data within individual months.
https://www.rba.gov.au/ Not exact matches
Recent data from travel site Hopper.com found 2 in 3 fares drop within 24 hours of the original search or booking, saving an average 14 percent.
According to Chris Matcovich, vice president of data and communications at TiqIQ, the average ticket price for a Yankees» home game during the 2014 season increased to more than $ 217 from $ 206 within just a couple hours of the retirement news.
Of the 2 hours and 42 minutes per day the average U.S. consumer spent on smartphone and tablet iOS and Android devices during the first quarter of 2014, 86 % of that time was spent within apps, according to new data from Flurry.
Lets just say this, using the census data, controlling on 4 digit occupation (NocS), gender and age, there is less than a 2 % difference in average annual pay, between private and public sector workers working within similar occupations.
If Strootman was better than or equal to the average relative to these players in the relevant statistical categories and ranks among the top 10 within each data set, it is fair to say he performed at a world - class level last season.
So Schwartz and his colleagues calculated average summer and winter temperatures in New England zip codes for 8 years, and tracked the deaths of elderly people living within them, based on Medicare data.
Using a computer model that fused air pollution and atmospheric chemistry data, they estimated what annual average levels of ozone (a key smog ingredient) and fine particulates smaller than 2.5 microns (PM2.5) were in 2010 within 100 - km - by -100-km grid squares across the world.
The research is the first to look at the specific effects of ride - hailing, or «ride - sharing,» within specific cities, rather than averaging data across multiple cities.
Conventional genomic analysis from a bulk sample of cells produces data that average the differences among the individual cells within the sample.
The point at which a trend becomes clear within the average temperature data for a given region — known as the «time of emergence» — depends on when the source of the warming begins, how fast it happens and the amount of background «noise» obscuring the signal.
Thin lines represent the mean spike - density functions of the individual cells, where data are aligned with saccade onset and averaged across at least 5 saccades into the center of the movement field (within 0.5 ⋅ σmf).
Additionally, the average FST values among SNPs contained within 100 kb non-overlapping windows derived independently from each datasets were highly significantly correlated (R = 0.5; P < 1.0 × 10 − 16; data not shown).
In a related matter, the article argues that Tennessee's value - added data show that most teachers are within an average range of effectiveness — particularly in subjects like reading.
This is according to data by CV - Library (www.cv-library.co.uk), which analysed figures on year - on - year fluctuations of average salaries within the education sector from 2014 to 2017.
The automated data reports in FAST ™ also provide visuals to help teachers understand how their students» performance compares to average grade - level students in the country, within the district, within the school, and within the student's general education classroom.
Within the data, a breakdown of school cohort size revealed that pupils scored nearly the exact same average scaled score regardless of cohort size — although there was a slight benefit of smaller cohorts in reading.
There are several problematic contextual issues that skewed the district's presented data which looked at an average of the number of credits earned by students within a school year:
One of the most consistent things we see from data is that the spread of ability within a year group far outstrips the average progress children make between years.
Three analyses were conducted with the cross-sectional data using teachers» WSS ratings of student achievement and students» WJ - R standard scores: a) correlations comparing the students» standard scores on the various subtests of the WJ - R and the WSS checklist and summary report ratings of student achievement within the corresponding WSS domains, b) four - step hierarchical regressions examining the different factors that accounted for the variance in students» spring WJ - R scores, and c) Receiver - Operating - Characteristic (ROC) curves, which make possible a determination of whether a random pair of average and below - average scores on the WJ - R would be ranked correctly in terms of performance on the WSS.
The positions are being eliminated — I believe because of the lack of direct data within our school or district that shows what we do has an impact on student achievement, even though dozens of studies show that we do, such as the Keith Curry Lance studies in Colorado (http://www.lrs.org/documents/lmcstudies/CO/CO2brochure.pdf): «Schools with well - developed library media programs average 10 - 15 % / 18 % higher reading scores.»
For more than three - quarters of the cities the difference between the average household income data was within 20 % of the median household income data.
There are 2,370 stocks with enough data to calculate a seven - year average high dividend yield, but only 867 have a current yield within 10 % of their seven - year average high.
2 Figures contained within this release are rounded averages based on data provided by a leading credit bureau.
The Bureau of Labor Statistics has taken data from within the state of Iowa and determined that the veterinary assistant average salary is $ 26,380 annually.
Only by adding a new set of MSU data RABCORE, which itself does not lie within the standard deviation in the upper troposphere, is the data made to look as if it averages out to meet the models.
Still, the scientists, at the National Snow and Ice Data Center in Boulder, Colo., said that the extent of the ice in the Arctic this summer was 33 percent smaller than the average extent tracked since satellites started monitoring the region in 1979, and that the long - term trend is toward an ice - free summer in the Arctic Ocean within a few decades.
It doesn't matter if one includes or excludes outliers due to upwind (vegetation depleted) or downwind (volcanic increased) conditions in the Mauna Loa data, or if one uses the data of the south pole, or Barrow, in all cases the trend doesn't differ with more than a few tenths of a ppmv... And the averages within one hemisphere are not more than 2 ppmv different.
Spatial averaging of satellite metrics (Figure 2A, S1) was performed using the original operational data from the greater Caribbean pixels containing, or nearest to, coral reef locations within the region [100W - 55W, 5N - 35N].
So please give an example where measurements of any given phenomenon were taken, with a potential error range of the equivalent of + / - 5 % that you stipulated in the initial measurements, where that poor initial data was processed using statistics, and provided an «actual average measurement within + / -.03 %, that was then verified against later, with subsequent more accurate measurements.
However, our monthly sea ice volumes calculated from NRT and standard data agree to within 0.5 % on average, which shows that the NRT data allow us provide users with a reliable operational thickness and volume product.
Statistical techniques such as averaging are commonly used in the research process and can help identify trends and relationships within and between data sets.
Once Jones, Wigley, and Wright had made several of these kinds of corrections, they analyzed their data using a spatial averaging technique that placed measurements within grid cells on the earth?s surface in order to account for the fact that there were many more measurements taken on land than over the oceans.
Average trends for the 456 tide gauges are also in good agreement (within 95 % confidence limits) with trends based on satellite data within the 1 ° satellite proximity criterion (3.26 and 3.31 mm / year, respectively).
Essentially, each grid point observation in the GISTEMP analysis is a distance - weighted average of the station data within 1200 km.
Evidently the ranking of average temperatures depends on the data coverage, although the differences are within the bounds of uncertainty associated with the dataset.
As it had turned out that even large - scale features of the model are rather sensitive to changes in the data set, particularly for the earlier part the model, the final model was obtained as the average of 2000 models where data and ages were varied within their uncertainty estimates and bootstraps on the final data sets were performed (hence version number 1b).
In a normal distribution of the data, 68 % of the data points fall within 1σ of the average value: 34 % higher than average, 34 % lower than average.
To calculate U.S. temperatures for each, I convert the temperature data into anomalies relative to a 2005 - 2013 baseline period, assign stations to 2.5 × 3.5 lat / lon grid - cells, average all the anomalies within each grid - cell for each month, and create a contiguous U.S. temperature by weighting each grid - cell by its respective land area.
This product combines historical data on crop growth and fieldwork conditions with economic considerations to determine best / worst / average scenarios of successfully completing nitrogen applications within a user - specified time period.
GISS methodology, as you've observed consists of using all rural stations within 1000 miles to adjust station data, then calculation of lots of little gridcells with more blending and averaging until, as you said appropriately, you felt like sticking knitting needles in your eyes.
They don't realize this is a huge step forward in atmospheric physics, mainly because all of the equations and relations that he has coerced out of the radiosonde data are applicable at almost any point on the Earth and at any season, averaged over time and within tight error bars.
According to NerdWallet data, auto insurance rates vary 154 % on average within a given zip code, so it really does pay to comparison - shop.
Based on analysis of Sensor Tower Store Intelligence data on the soft launch thus far, we can say that it's significantly outperforming the soft launches of the publisher's publicly canceled projects — and is within spitting distance of the soft launch success of Clash Royale in one very important metric: average revenue per download.
This data paints a very compelling picture that, based on human behavior, the average smartphone user is not greatly benefitted by vast app quantities within the current app store model.
Experienced with Work Force Analyst sales data reporting including familiarity with measuring performance within the sales department using benchmark metrics which include but are not limited to: conversion rates, upsells, telephone aux and average call handle time and sales metrics performance review.
Analyzed enrollment and retention data and incorporated findings to increase the average 2016 monthly enrollment count by 20 % and retain 100 % of membership renewals within the first 45 days.
Sales data indicate they are selling everything they build within three months on average, so why aren't they building more?
Conveying the pure data about how a REALTOR ®, on average, can earn the seller a higher list price and also utilize his / her unlimited resources to bring the property to close at a faster pace can be a turning point for your FSBO seller, especially when you share the data and reports found within RPR.