what is difference between nominal & design mix?
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There are many grade of nominal mix concrete like M-5, M-7.5, M-10, M-15 and M-20. Design mix - Design mix is a process to prepare concrete by testing all necessary properties (like properties of cement, fine aggregate and coarse aggregate) of concrete ingredients.
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A Nominal Scale is a measurement scale, in which numbers serve as “tags” or “labels” only, to identify or classify an object. A nominal scale measurement normally deals only with non-numeric (quantitative) variables or where numbers have no value. Below is an example of Nominal level of measurement.
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['DLBD method to determine material requirement for Nominal Concrete Mix (M20 – 1:2:4)', 'Step-1: ... ', 'Step-2: ... ', 'So, Sand required = 0.07*1600 = 112 kgs.', 'and Aggregate required = 0.14*1450 =203 kgs.', 'Step-3: ... ', 'Empirical method to determine material requirement for Nominal Concrete Mix:-', 'Step-1:']
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Nominal interest rate refers to the interest rate before taking inflation into account. Nominal can also refer to the advertised or stated interest rate on a loan, without taking into account any fees or compounding of interest.
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Age can be both nominal and ordinal data depending on the question types. I.e "How old are you" is a used to collect nominal data while "Are you the first born or What position are you in your family" is used to collect ordinal data. Age becomes ordinal data when there's some sort of order to it.
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Hi, One main difference is that you do not have a file for the component, while you have the CATProduct for the product. The component will be saved in the parent CATProduct.
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In economics, the nominal values of something are its money values in different years. ... But nominal values do not specify how much of the difference is from changes in the price level. Real values remove this ambiguity. Real values convert the nominal values as if prices were constant in each year of the series.
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The underlying spectrum is ordered but the names are nominal. In research activities a YES/NO scale is nominal. It has no order and there is no distance between YES and NO.
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As you say, "nominal" means "in name only", while "minimal" means "the least possible". So, if you start with the minimum amount of something required to call it by a certain name, and then you take away a little more, you can't call it by that name anymore. There's no longer even a "nominal" amount of whatever it was.
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Difference #8: Generally, U.S. design patent applications are not published. U.S. design patent applications are not published if the application is filed directly with the USPTO.
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The main difference between nominal and real values is that real values are adjusted for inflation, while nominal values are not. As a result, nominal GDP will often appear higher than real GDP. ... Values for real GDP are adjusted for differences in prices levels, while figures for nominal GDP are not.
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As nouns the difference between composition and design is that composition is the proportion of different parts to make a whole while design is a plan (with more or less detail) for the structure and functions of an artifact, building or system.
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In fact, it can be product design all on its own. But industrial design generally applies only to industrial products. So, while a fashion designer or software developer uses product design to develop their concepts, an industrial designer only when the final product is meant to build or produce something of its own.
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Two types of product arrays are the "product range" and the "product mix". A product range is a set of variations on a specific product made to appeal to different market segments. A product mix is a blend of related products that can be marketed together to similar market segments.
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UX Design focuses more on the build of a Product, whereas Design Thinking is more into the strategy and conceptual thinking. Using both the philosophies in the Design helps improving your design in a very significant manner.
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Nominal data can be both qualitative and quantitative. However, the quantitative labels lack a numerical value or relationship (e.g., identification number). On the other hand, various types of qualitative data can be represented in nominal form.
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The only real difference between the two is that a category feels more like a bucket or classification: Things are filed or stored away in categories. A type is more akin to a label or identification.