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36 Sentences With "simple average"

How to use simple average in a sentence? Find typical usage patterns (collocations)/phrases/context for "simple average" and check conjugation/comparative form for "simple average". Mastering all the usages of "simple average" from sentence examples published by news publications.

That gives them an outsized 5.8% weight in Mr Balding's simple average of 69 products.
Cancel out the simple, average positivity you see in the face of every normal person.
Moreover, the Nikkei is a simple average, not weighted by market capitalization, as the Topix is.
The WTO's interactive map highlights the "simple average applied MFN tariff" (Most Favored Nation) of various countries.
In recent years, the simple average tariff that China imposes has risen slightly, according to the World Bank.
Citi said a simple average of the past 10 opinion polls showed a 2.7 percentage point lead for "Leave".
The World Trade Organization, which has developed a "simple average applied most favored nation tariff" for each country, confirms Trump's claim.
Its simple average tariff has dropped, but tariffs on products from most-favored nations and the overall weighted average tariff have increased.
Source: Haver Analytics, Deutsche Bank Global Markets Research Note: A simple average of standard deviation obtained from each country in 1991 - 136.53 data.
Most advanced economies have tariff levels around the U.S.'s simple average of 2.67 percent, and most developing countries keep tariffs under 10 percent.
The European Union's simple average tariff declined from 2015 to 2016, while its weighted average tariff overall and for most-favored nations recently increased.
A simple average of the two firms produces a price of about $2900, but the subscriber-weighted average between the two is only $220006.
A simple average of these products shows industrial growth (year on year) of about 0% in the second quarter, compared with the official figure of about 6%.
Next, each student received both a combined grade—a simple average of the grades assigned by a group of peer graders—and a computed grade, one adjusted by an algorithm that accounted for each grader's bias.
RealClearPolitics's simple average of recent polls shows an 8-point margin for Democrats in the generic House vote, a question asking whether respondents would vote for the Democrat or the Republican for Congress in their districts.  Fivethirtyeight.
And the number of possible configurations is astronomical: Running through all of the shapes a simple, average-sized protein could take would take longer than the lifetime of the universe, even if you ran through billions per second.
I find it helpful to contrast the real America, the place we actually live, with what I think of as "Senate America," the hypothetical nation implied by a simple average across states, which is what the Senate in effect represents.
FIFA, on the other hand, measures a country's strength by taking a simple average of points earned in the matches that they have contested—which punishes those that have played more "friendly" games outside of major tournaments, since they are far less valuable.
Amazon does not provide many specifics about how a product's overall star rating is calculated, other than stating that it is not a simple average but instead uses "machine-learned models" that take into account factors such as how recent the rating or review is and whether it was a verified purchase or not.
After controlling for changes in the value of a try (which was three points in 1950, but is five points today) he concludes that the Lions have typically been about ten points per game stronger—when compared to either a simple average of the two best British and Irish nations or a weighted average using the nationalities in the match-day squad.
This gives rise to the measure of the peak-flow rather than a simple average of half of the total capacity.
FiveThirtyEight currently rates Rasmussen Reports with a C+ grade and notes a simple average error of 5.3 percent across 657 polls analyzed.
A simple average of real GDP growth for the first 11 quarters under President Trump (Q1 '17 to Q3 '19) was 2.6%, the same as the last 11 quarters under President Obama.
In fluid dynamics, stream thrust averaging is a process used to convert three- dimensional flow through a duct into one-dimensional uniform flow. It makes the assumptions that the flow is mixed adiabatically and without friction. However, due to the mixing process, there is a net increase in the entropy of the system. Although there is an increase in entropy, the stream thrust averaged values are more representative of the flow than a simple average as a simple average would violate the second Law of Thermodynamics.
One possible unreal solution for the stream thrust averaged velocity yields a negative entropy. Another method of determining the proper solution is to take a simple average of the velocity and determining which value is closer to the stream thrust averaged velocity.
The GII is computed by taking a simple average of the scores in two sub-indices, the Innovation Input Index and Innovation Output Index, which are composed of five and two pillars respectively. Each of these pillars describe an attribute of innovation, and comprise up to five indicators, and their score is calculated by the weighted average method.
The Knowledge Index or KI is an economic indicator prepared by the World Bank Institute to measure a country's ability to generate, adopt and diffuse knowledge. Methodologically, the KI is the simple average of the normalized performance scores of a country or region on the key variables in three Knowledge Economy pillars - education and human resources, the innovation system and information and communication technology (ICT).
In this measure, market orientation is conceptualised as a one- dimensional construct, with three components, namely: customer orientation, competitor orientation, and interfunctional coordination. The simple average of the scores of the three components is the market orientation score. On the other hand, the MARKOR scale is a 20-item, 5-point Likert scale, with only the ends of the scale specified. Here market orientation is again composed of three components, namely: intelligence generation, intelligence dissemination, and responsiveness.
These data points are then combined (down-sampled) to the desired resolution, often just by a simple average. The combined data points have less visible aliasing artifacts (or moiré patterns). Full-scene anti-aliasing by super-sampling usually means that each full frame is rendered at double (2x) or quadruple (4x) the display resolution, and then down-sampled to match the display resolution. Thus, a 2x FSAA would render 4 super-sampled pixels for each single pixel of each frame.
Unfortunately, there is not yet a singular, standardized model for assessing financial system stability and for examining policies. To measure systemic stability, a number of studies attempt to aggregate firm-level stability measures (z-score and distance to default) into a system-wide evaluation of stability, either by taking a simple average or weighing each measure by the institution's relative size. However, these aggregate measures fail to account for correlated risks among financial institutions. In other words, the model fails to consider the inter- connectedness between institutions, and that one institution's failure can lead to a contagion.
In thermofluids dynamics, the bulk temperature, or the average bulk temperature in the thermal fluid, is a convenient reference point for evaluating properties related to convective heat transfer, particularly in applications related to flow in pipes and ducts. The concept of the bulk temperature is that adiabatic mixing of the fluid from a given cross section of the duct will result in some equilibrium temperature that accurately reflects the average temperature of the moving fluid, more so than a simple average like the film temperature.Kreith, Frank, and Bohn, Mark S. Principles of Heat Transfer, Sixth Edition. Brooks/Cole: Pacific Grove, CA, 2001.
A different class of variable granulation methods derive more from data clustering methodologies than from the linear systems theory informing the above methods. It was noted fairly early that one may consider "clustering" related variables in just the same way that one considers clustering related data. In data clustering, one identifies a group of similar entities (using a "measure of similarity" suitable to the domain — ), and then in some sense replaces those entities with a prototype of some kind. The prototype may be the simple average of the data in the identified cluster, or some other representative measure.
This issue is problematic because many weather stations today have integrated the corn growing degree-day method in their software. The corn growing degree-day method uses both a base temperature adjustment and an upper threshold, neither of which are common in viticulture and wine production use, and can confound any comparison with published data using the simple average method. Furthermore, more complex climate indices have been introduced to address perceived shortcomings in the Winkler index including the Huglin Index, the Biologically Effective Degree- Day Index, and the Multicriteria Climatic Classification system (Geoviticulture MCC). These indices attempt to account for day length and solar, frost, and drought variability that can be found in different locations.
One way to compute an alpha profile is to use a classification technique such as Naive Bayes: find in the historical record a collection of orders with similar features, compute the impact-free price for each case, and take the simple average return from trade start over the next few days. This method is robust and transparent: each order is attached to a class of orders that share specific features that can be shown to the user as part of an explanation for the proposed optimal decision. However, an alpha profiling model based on classifying trades by similarity has limited generalization power. New orders do not always behave in the same way as other orders with similar features behaved in the past.
India Becoming, by the Harvard University trained social anthropologist, Akash Kapur, is an in-depth study of simple average people from a nondescript town in South India, their mundane life and their struggle to survive the vicissitudes of the burgeoning society that modernization has thrown their way. In this debut attempt, Kapur chose to go to such great lengths to depict the real-life stories and experiences of people that it took him five years to finish the book. Kapur, in this critically acclaimed book, also expresses his unbiased sentiments about the outcomes rapid urbanization brings in its wake, affecting people from all social strata, both the country and the bustling metropolis, be it his rural hometown in Tamil Nadu or the chaotic cities of Bombay, Bangalore or Chennai. The real-life characters in his book successfully reflect the writer's views in graphic detail.
The HDI measures average achievements based on three dimensions: life-span, as measured by life expectancy at birth; education, as measured by the adult literacy rate and average number of years spent in school in adults over 25; and standard of living, as measured by GDP per capita in purchasing power parity (PPP) terms in US dollars. Veenhoven is critical of the HDI because it measures QOL in terms of input, while never addressing to what extent these input provisions are in fact good for people. Furthermore, the HDI is a rather generalized index that gives a simple average of the three-dimensional achievements mentioned above, which can be expressed in this formula: ::HDI = 1/3 (life expectancy index) + 1/3 (education index) + 1/3 (GDP index). One can see that highly developed nations can have high life expectancy rates if those nations rely on excessive measures to keep a person alive.

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