Sentences with phrase «following value data»

Make sure it point out to following Value data:

Not exact matches

Taking our methods to older data, we discovered that they also were heavily whipsawed during the Depression, when the same valuations we observed at the 2009 lows were followed by a further loss of two - thirds of the market's value.

In the wake of Verizon's newly announced decision to finally scrap subsidized phones and two - year contracts, AT&T follows suit with a new set of Mobile Share Value plans that cuts down the price of most plans while offering more data for some.

And, following this focus, cosmologists in the last three hundred years or so have usually ignored the «qualitative» value - laden data given in our primary perception.

But the fact that there is no claim made about the values of this data before 2015 (the year that the war propaganda would start if it were to follow the war) is very, very suspicious.

The following data covers those systems within the MOD and its Agencies where accreditation is centrally controlled by Defence Security and Standards Assurance (DSSA), which are either connected to the MOD networks, or are stand alone above Secret, or are systems that contain significant value to the MOD e.g. those systems that contain particularly sensitive or personal data.

«And it appeared that either relevant data were ignored or that full and careful consideration of cost - benefit analysis best practices were not followed in assessing wetlands values and public attitudes about water - quality protection.»

Given the importance of hard data to reinforce the value of federal funding to NIH, the Academy is finalizing a follow - on analysis that looks at patent output through a number of additional metrics, such as by mechanism and study section.

If these were not presented, we followed methods described by Parmar to extract them from Kaplan - Meier curves, P values, or percentage survival (for example, five year survival).13 We contacted authors if data were not presented in a useable form.

It appears from this data that people who are metabolically healthy tend to have lower blood glucose and lower ketone values, even if they are following a ketogenic diet.

You will find word problems that cover the following: Number and place value Number and operations Measure: area and perimeter Data analysis As with all problem solving, the critical thinking skills are rehearesed as the children learn to do multi-step problems.

Included in the pack are the following Year 1 pirate math centers: Yo Ho Ho (Place Value) Pirates Loot (Odd and Even) Measure the Jolly Rodger (Measurement \ Anchor Away (Addition and Subtraction) Hats, Maps and Hooks (Data Handling) Treasure Maps (Shape) A Pirates Time for Me!

What follows is a summary description of some values of America's elementary and secondary school teachers gleaned from data collected from1972 to 2006.

Check out this book on iBooks Year 8 Maths Data Representation and Interpretation The following interactive textbook has been designed to teach Year 8 students in accordance with the following ACARA headings: Investigate techniques for collecting data, including census, sampling and observation (ACMSP284) Explore the practicalities and implications of obtaining data through sampling using a variety of investigative processes (ACMSP206) Explore the variation of means and proportions of random samples drawn from the same population (ACMSP293) Investigate the effect of individual data values, including outliers, on the mean and median (ACMSPData Representation and Interpretation The following interactive textbook has been designed to teach Year 8 students in accordance with the following ACARA headings: Investigate techniques for collecting data, including census, sampling and observation (ACMSP284) Explore the practicalities and implications of obtaining data through sampling using a variety of investigative processes (ACMSP206) Explore the variation of means and proportions of random samples drawn from the same population (ACMSP293) Investigate the effect of individual data values, including outliers, on the mean and median (ACMSPdata, including census, sampling and observation (ACMSP284) Explore the practicalities and implications of obtaining data through sampling using a variety of investigative processes (ACMSP206) Explore the variation of means and proportions of random samples drawn from the same population (ACMSP293) Investigate the effect of individual data values, including outliers, on the mean and median (ACMSPdata through sampling using a variety of investigative processes (ACMSP206) Explore the variation of means and proportions of random samples drawn from the same population (ACMSP293) Investigate the effect of individual data values, including outliers, on the mean and median (ACMSPdata values, including outliers, on the mean and median (ACMSP207)

Students answer one question per strand daily with Lesson 1 introducing: Whole number addition Whole number subtraction Number facts Place value Number patterns Building on these base strands the following lessons introduce: Lesson 21 Money Lesson 31 Measurement Lesson 41 Fraction Lesson 51 Time Lesson 61 Chance and data https://shop.acer.edu.au/acer-shop/product/5136BK Elementary Math Mastery (EMM) Author: Rhonda Farkota McGraw - Hill Australia 2003 Ideally suited for upper primary, first year secondary and secondary school remedial students Requires daily 15 — 20 minutes to implement, plus 5 — 10 minutes for instant feedback EMM features 160 lessons, each composed of 20 strands.

I am ready to help your team with any of the following tasks: • Develop logic models and action plans (Leadership / Planning) • Refine governing practices and optimize board composition and norms (Leadership / Governance) • Refine improvement efforts and data review processes (Data Driven) • Conduct an organization - wide analysis to determine expansion readiness (Leadership / Planning) • Develop, launch and analyze surveys to inform practices or address issues (Staff / Stakeholder) • Conduct an organization - wide analysis to identify gaps and strengths and craft improvement plan (Leadership) • Refine mission / vision statements, develop values or norms, or improve organizational culture (Mission Vision Valdata review processes (Data Driven) • Conduct an organization - wide analysis to determine expansion readiness (Leadership / Planning) • Develop, launch and analyze surveys to inform practices or address issues (Staff / Stakeholder) • Conduct an organization - wide analysis to identify gaps and strengths and craft improvement plan (Leadership) • Refine mission / vision statements, develop values or norms, or improve organizational culture (Mission Vision ValData Driven) • Conduct an organization - wide analysis to determine expansion readiness (Leadership / Planning) • Develop, launch and analyze surveys to inform practices or address issues (Staff / Stakeholder) • Conduct an organization - wide analysis to identify gaps and strengths and craft improvement plan (Leadership) • Refine mission / vision statements, develop values or norms, or improve organizational culture (Mission Vision Vvalues or norms, or improve organizational culture (Mission Vision ValuesValues)

To gauge the affect on property values, Imberman and Michael Lovenheim of Cornell used home sales data from the Los Angeles County Assessor's Office in an eight - month period following the Los Angeles Times» release of the value - added scores.

Jack Remondi, the President and CEO of Navient, offered the following statement for Navient's press release: «Combining Earnest's best - in - class data science, digital marketing, and technology with Navient's industry and capital markets experience create an exciting platform to deliver value for consumers and investors.

Morningstar doesn't follow this stock and my DCF didn't return anything due to lack of data needed to calculate a fair value.

If it takes more than ten seconds to collect 25 or more trades in the data set, Nadex uses the following process to calculate the expiration value:

We looked at data from 1995 - 2015 and compared the relative performance of growth and value strategies over the following 12 months.

Aphophenia itself is named after the experience of «seeing patterns or connections in random or meaningless data», so expect a critical look at the aformentioned subject, while the fact that LTV also happens to stand for the «lifetime value» of a customer in marketing could lend itself to the following Alloro quote:

Note that the CRU value of 1998 is relatively higher (compared to the following years) than in the GISS or NOAA data set.

His value lay in part in his determination to follow the data, whether or not the resulting conclusions were politically correct.

This follows on from similar points made by Steve Goddard, and another article by Harold Ambler which tries to show how DMI is based on more data measurements than GISS, again providing a setting to raise questions about the reliability of GISS gridded values in the Arctic.

Since solar radiation data were not available for these sites, we calculated monthly mean values, using differences between temperature extremes following procedures outlined by Coops et al. -LRB-[2000]-RRB-.

The «POGA - H» model also uses historical data for climate forcing, but constrains sea surface temperature in the tropical eastern Pacific (the ENSO region) to follow their historical values.

Not having the data, I estimated the values for CS, TF and AF as follows:

Following a detailed analysis of year - end data issued by the Independent Electricity System Operator (IESO) and Ontario Power Generation (OPG), the Ontario Society of Professional Engineers (OSPE) is reporting that in 2016, the province wasted a total of 7.6 terawatt - hours (TWh) of clean electricity — an amount equal to powering more than 760,000 homes for one year, or a value in excess of $ 1 billion.

csv, and obtain the extent data values in square kilometers, we use the following steps:

Around Dec 8, 2009, the UK Met Office released «value added» data for a «subset» of 1741 stations — see here, describing the release as follows: The data downloadable from this page are a subset of the full HadCRUT3 record of global temperatures, which is one of the global temperature records that have underpinned IPCC -LSB-...]

The values between 1952 and 1998 are obtained by linearly interpolating the following consecutive data points: two blue crosses at 1952 (the last data points used from the 10Be records), green crosses at 1976 and 1998 (22 - year averages of the neutron monitor data).

* Note: The following data includes values prior to 1997, which can not be verified with available 990 forms.

What's very unfortunate in the Schwartz paper is the following, however: «However in a subsequent publication a year later Lyman et al. [2006] reported a rapid net loss of ocean heat for 2003 - 2005 that led those investigators to estimate... a value much more consistent with the long - term record in the Levitus et al. [2005] data set.»

The following is from the US Academies of Science in 2002 — from doyens of climate science — and can be taken at face value as a description of real world data.

Those data, of course, have tremendous value to the Big Tech, who use it to analyze patterns of behaviour and sell highly targeted advertisements that follow us round the internet.

VALE helps you enhance the productivity of your team by reducing non-billable time, filtering out low - value enquiries and automating routine operations like setting up appointments, follow - up, information gathering, data capture and maintenance.

Substituted Values: When producing data from the Logging Database pursuant to the Order, Defendants shall substitute values while preserving uniqueness for entries in the following fields: User ID, IP Address and VisitValues: When producing data from the Logging Database pursuant to the Order, Defendants shall substitute values while preserving uniqueness for entries in the following fields: User ID, IP Address and Visitvalues while preserving uniqueness for entries in the following fields: User ID, IP Address and Visitor ID.

Rupert is currently acting in two of The Lawyer's Top 20 Cases of 2017, namely Bank Mellat v HM Treasury (US$ 4bn Commercial Court claim against the UK Government for breach of A1P1 ECHR rights loss caused by unlawful sanctions) and Various Claimants v WM Morrison Supermarkets plc (high - value group litigation privacy / Data Protection Act claim against Morrisons following employee data breaData Protection Act claim against Morrisons following employee data breadata breach).

Alphabet lost 0.39 percent, trimming its stock market value to $ 762 billion, as Wall Street fretted about regulatory fallout following revelations that a political consulting firm had improperly obtained personal data on 50 million Facebook Inc users.

Over the past several days, the beleaguered company has lost some $ 100 billion in market value, following news that political consulting firm Cambridge Analytica harvested data from 50 million users without their permission.

Following revelations that Trump consultant Cambridge Analytica collected and exploited the data of tens of millions of Facebook users without their permission, the company took a massive hit, losing about $ 40 billion in market value on Monday morning.

Facebook has lost $ 35 billion in market value following reports that Cambridge Analytica, a data firm that worked with President Donald Trump in the 2016 elections, had unauthorized access to 50 million Facebook user accounts in one of its largest breaches yet.

The shop then sends us the data we need following your purchase so that we can update your BitcoinRewards dashboard with the qualifying reward value and associated information for your reference.

According to the latest data, Bitcoin first lost in value following US tech titan Google's decision to ban virtual currency ads, then went up a little bit and is now worth $ 8,593.84.

Compensation Specialists work in a company's personnel department and complete the following duties: researching compensation statistics, conducting position evaluations, ensuring compliance with labor laws, making data - based decisions, determining the segments of workforce contributing the most value, and conducting periodic audits.

Follows established test procedures to conduct visual and functional tests of assemblies, sub-assemblies and systems involving the use of digital and analog equipment to measure values and record functional data.

Missing data analysis followed to examine whether values were missing completely at random (MCAR).

The home valuation system not only offers value to potential clients, but also simultaneously collects their data for easy agent follow - up.

Introductory Meeting - 1 to 2 hours (minimum $ 200) Professional Appraisal Completion - 3 to 5 hours (minimum $ 400) Listing Presentation - 1 to 2 hours (minimum $ 200) Professional Staging and Pre-List Preparation - 1 to 3 hours (minimum $ 200) Listing Data Verification and Signing - 1 hour (minimum $ 100) Listing Copyrighting and MLS uploading - 2 to 3 hours (minimum $ 300 includes the mls processing fee) Professional Listing Photography with Copyrights attached - 1 hour (minimum $ 100) Professional Photography Editing - 1 to 2 hours (minimum $ 100) Professional Feature Sheet Composition - 1 to 2 hours (minimum $ 150) Feature Sheet Production - one set of 25 (minimum $ 100) Sign Placement - includes board and frame and disposable corner markers (minimum $ 50) Professional Virtual Tour Production - 2 hours (minimum $ 200) Website Upload - 2 hours (minimum $ 200) Professional Agent Open House - 3 hours (minimum $ 300)(note actual value assuming 20 agents attend is $ 2000 not included) Professional Public Open House - 4 hours (minimum $ 400) Professional Offer Negotiations - 4 hours (minimum $ 400) Conditional Follow Ups - 2 hours (minimum $ 200) Lawyer and Closing Follow Up - 2 hours (minimum $ 200) Additional incured upon each Offer Presentation = $ 800 Brokerage or Brand Open House - 3 hours (minimum $ 300) Follow Up and Leads - 2 hours per week (minimum $ 200 per week) Additional Public Open House - 4 hours (minimum $ 400 per Open House) Advertisments in print -(Canadian average $ 300 per ad per week) Magazine Advertising (varies with property value and reach of magazine)