Sentences with phrase «of data points above»

Teams should consider the number of data points above the goal, amount of support in place, and student performance in other settings before reducing or removing intervention supports.

Not exact matches

When Banks looked at the above diversity data for senior executives at 16 Fortune 500 companies, she was careful to point out that it need not be a depressing reminder that women and people of color — and other marginalized groups that aren't counted on the EEO - 1 Report — struggle to make it to the upper echelons of corporate America.

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.

Given this data, if at the given time - frame the cost of the pair of currencies gets to 1.30667 we must swiftly enter a «put» prediction as a «retracement of price» is anticipated to come about as the price has risen above the upper pivot point.

In the US, 10 - year bond yields are currently 4.4 per cent, around 120 basis points above the mid-June trough, reflecting the run of positive economic data in recent months.

To determine these initial values, we used the 2010 Survey of Consumer Finances to compute average values for each of the above data points.

This can be done from many points of view, but I have suggested above that the crucial attack is that which accepts the same data and then shows that the argument does not exclude the presence of contingent elements in God's total nature.

=============== Summary: Other than your comment about God being constrained by time when He is within our space / time (which was addressed in point # 1 above), the remainder of your comments had to do with objections that you have with respect to God's actions, nothing to do with the traits of omniscience and omnipotent being mutually exclusive, which was your original data point for the impossibility of God to exist.

You said, «Summary: Other than your comment about God being constrained by time when He is within our space / time (which was addressed in point # 1 above), the remainder of your comments had to do with objections that you have with respect to God's actions, nothing to do with the traits of omniscience and omnipotent being mutually exclusive, which was your original data point for the impossibility of God to exist.»

As the data above indicates, laying the points with favorites of this magnitude has not been a profitable strategy.

Looking at the data above then West Brom and Stoke along with the three teams on 27 points have the most to do in terms of points needed.

More to the point, says the Empire Center, «School spending in New York [state] was driven primarily by instructional salaries and benefits — which, at $ 14,769 per pupil, were 114 percent above the national average of $ 6,903, the census data show.»

The day of the failed eruption, scientists pointed the VAULT2.0 sounding rocket — a sub-orbital rocket that flies for some 20 minutes, collecting data from above Earth's atmosphere for about five of those minutes — at an area of intense, complex magnetic activity on the Sun, called an active region.

At seven time points between 1833 and 2007 the researchers used geospatial data and programming script to construct digital maps (shown above) that treat the street system as a network of links (streets) and nodes (intersections).

The data points in the graph above correspond to the peak of the Reneger - Pfotzer maximum, which lies about 67,000 feet above central California.

Statistical Evaluation: ~ 20,000 GenePix data points (from above) were analyzed in terms of signal strength and ranked accordingly.

Above Chart from Venables et.al.; «Determinants of fat oxidation during exercise in healthy men and women: a cross-sectional study» FASTER: The chart below from FASTER shows the data points of the two cohorts.

Users should therefore note that any estimation of calorie burn above 80 % of VO2max (or roughly 89 % of maximum heart rate) is based on an extrapolation (i.e. an assumption that the data correlation holds outside the limits of the gathered data points) of the experimental data rather than an interpolation.

The test I use is called our Complete Thyroid Report, which looks at all of the above factors as well as other key data points such as vitamin D levels, C reactive protein, homocysteine, a complete blood count and metabolic panel.

Therefore, any determination of fat versus carbohydrate utilization above 61 % of VO2max (or roughly 77 % of maximum heart rate according to the Swain et al. correlation) is based on an extrapolation (i.e. an assumption that the data correlation holds outside the limits of the gathered data points) of the experimental data rather than an interpolation.

Obviously the quality and interpretation of pupil data is an essential starting point to inform and underpin the above aspects effectively.

Focusing on a single data source — for example, an arbitrary proficiency level or cut point — can lead schools to focus on a single group of students who hover around this point and ignore those far above or below that point.

Since 2006, according to an analysis of state testing data by the city's Department of Education (which used 2010's recalibrated proficiency levels to compare 2006's testing data to 2010's), the city's elementary and middle schools have seen a 22 - point increase in the percentage of students at or above grade level in math (to 54 percent) and a 6 - point increase in English (to 42 percent).

Hence, from the above points, it is advisable to get big data assignment help from the experts to acquire a better knowledge of big data.

IT control and monitoring of BlackBerries via BES has always been the crown jewel of RIM's business model and a major selling point to enterprises because it ensures device and data security that's a step above any other platform's.

But again, we'll move as the data moves, and we remain open to establishing at least a moderate exposure to market fluctuations at any point that the expected return / risk profile of the market peeks above negative levels.

As far as the price of oil goes, it cracks me up to see people pointing to this or that data point as to why oil won't rise above price $ X by time period Y. I don't remember hearing a peep about oil falling drastically last summer.

To illustrate this point, observe that each of the above seminar titles contains incorrect or misleading data.

Despite showing this end - of - Secular - Bull - Market period to make my point about market retracements, my technical view with the data currently at hand, as per the market analysis webinar mentioned above, is that the current Secular Bull Market is in it's first 5 years, not last 5 years...

Those loans averaged 7 percentage points higher than the typical home loan in 2013, according to a Center for Public Integrity / Times analysis of federal data, compared with just 3.8 percentage points above for other lenders.

Please NOTE the 01 - Mar - 2015 EDIT to my post above — now includes one final set of data points (Free Cash Flow vs. Adj Net Income over the Past 5 Years).

While even though you try rebate much of those PAID COSTs LATER, there exists nasty consequences (usually unplanned surprises for the faithful points chasers), e.g., please find data point learning of «Chaython September 21, 2017 at 1:52 pm» experience posted above here.

As has been noted by others, this is comparing model temperatures after 2020 to an observation - based temperature in 2015, and of course the latter is lower — partly because it is based on HadCRUT4 data as discussed above, but equally so because of comparing different points in time.

As an aside, one of the data points in the above graph is incorrect; the National Geophysical Data Center gives a solar cycle length of 11.8 years for 1963, where Veizer plots 11.0 yedata points in the above graph is incorrect; the National Geophysical Data Center gives a solar cycle length of 11.8 years for 1963, where Veizer plots 11.0 yeData Center gives a solar cycle length of 11.8 years for 1963, where Veizer plots 11.0 years.

Based on this, I suggest that the best way to monitor trends would be to use a statistical correlation model (such as the above) and check if new data points fall within 2 standard deviations of the model predictions.

As pointed out above, the data we should be assessing is that from the relatively uninhabited parts of the planet, such as Africa and South America, where the readings will be less impacted by human activity.

In a weekly climate - focused newsletter, the SEPP argued that, «given poor geographic coverage of the surface - air observations, the movement of observation points on the surface, and the frequent manipulation of the data by the reporting entities, not clearly publically disclosed, the margin of error is likely to be well above + / - 0.1 deg C and it is actually unknown.»

To elaborate slightly on my above point, the cause / effect relationship between CO2 and temperature derived from data spanning more than 400 million years, and operating within uncertainty margins that can be quantified with reasonable probability requires the existence of a prominent CO2 signal in the record of the past half century.

So lets «be scientific» and look at at least one point of data directly pertinent to the above idea.

Either respond to points 2 and 3 above with empirical scientific data supporting CAGW and an indication of how CAGW can be scientifically falsified, or hold your peace.

Using the observed data points and the above IPCC bases, we can calculate the temperature increase to be expected from an increase from today's 390 ppmv CO2 to a future concentration of 1,065 ppmv.

and one more confirming the data Paul points out above: http://www.dailymail.co.uk/sciencetech/article-2093264/Forget-global-warming–Cycle-25-need-worry-NASA-scientists-right-Thames-freezing-again.html... The supposed «consensus» on man - made global warming is facing an inconvenient challenge after the release of new temperature data showing the planet has not warmed for the past 15 years...

As an example, if I set out to map the major underwater features of a particular lake by looking carefully from a particular point 50 feet above the surface level from one of the banks and performing naive calculations, I may very well end up with results that will be skewed; however, the data might still be very useful and can be transformed into something much more accurate by applying the proper mathematical transformations with physical justifications.

The point to be made regarding that paper is similar to the one I made above: there is evidence that internal variability (to the extent it can be equated with the AMO) has affected the rate at which anthropogenic forcing has warmed the surface, but most of the warming must have been forced, with the observed positive ocean heat uptake data excluding more than a very minor role for internal variability in the warming itself with very high confidence.

Ergo, not withstanding all the points raised above, the IPCC FAR projections have not in fact been falsified - even without adjustments to use historical forcing data, and even ignoring the fact that it was not intended as a projection of future temperatures (but only of the GHG impact on future temperatures).

Nor do the above caveats of non-robustness properly deal with the dependence of their 20th century uptick on their deletion of 20th century data points from critical series and the importation of earlier data points into the 20th century by unjustifiable coretop re-dating.

Here are some examples: # 1) «A Parallel Nonnegative Tensor Factorization Algorithm for Mining Global Climate Data» http://www.springerlink.com/content/u4x12132j06r40h3/ (from LNCS - Lecture Notes in Computer Science) # 2) «Dowinscaling of precipitation for climate change scenarios: A support vector machine approach» http://eprints.iisc.ernet.in/18799/ (Journal Of Hydrology) # 3) «Semi-supervised learning with data calibration for long - term time series forecasting» http://portal.acm.org/citation.cfm?id=1401911 (Knowledge Discovery and Data Mining Journal) There are tons that I can quoted, but the 3 references that I have linked to above clarifies my poData» http://www.springerlink.com/content/u4x12132j06r40h3/ (from LNCS - Lecture Notes in Computer Science) # 2) «Dowinscaling of precipitation for climate change scenarios: A support vector machine approach» http://eprints.iisc.ernet.in/18799/ (Journal Of Hydrology) # 3) «Semi-supervised learning with data calibration for long - term time series forecasting» http://portal.acm.org/citation.cfm?id=1401911 (Knowledge Discovery and Data Mining Journal) There are tons that I can quoted, but the 3 references that I have linked to above clarifies my poinof precipitation for climate change scenarios: A support vector machine approach» http://eprints.iisc.ernet.in/18799/ (Journal Of Hydrology) # 3) «Semi-supervised learning with data calibration for long - term time series forecasting» http://portal.acm.org/citation.cfm?id=1401911 (Knowledge Discovery and Data Mining Journal) There are tons that I can quoted, but the 3 references that I have linked to above clarifies my poinOf Hydrology) # 3) «Semi-supervised learning with data calibration for long - term time series forecasting» http://portal.acm.org/citation.cfm?id=1401911 (Knowledge Discovery and Data Mining Journal) There are tons that I can quoted, but the 3 references that I have linked to above clarifies my podata calibration for long - term time series forecasting» http://portal.acm.org/citation.cfm?id=1401911 (Knowledge Discovery and Data Mining Journal) There are tons that I can quoted, but the 3 references that I have linked to above clarifies my poData Mining Journal) There are tons that I can quoted, but the 3 references that I have linked to above clarifies my point.

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?

His assertion of lower sea - levels in the crusader period is based on a single data point which is immediately preceded by another that is significantly above sea level.

Second, as pointed out above, the problems with the satellite data have been adjusted and now «show warming rates that are similar to those of the surface temperature record and are consistent within their respective uncertainties»