Answer:
have
Explanation:
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Translation or specification gaps emerge when you focus too intently on industry standards or internal capabilities that are not aligned with customers’ real needs is true.
Hard and fast standards inside an industry regarding the usual functioning and sporting out of operations in their respective fields of production. In other words, it is the usually widespread necessities accompanied by the aid of the participants of an enterprise.
Exceptional enterprise requirements approach the standards which fall inside the top quartile inside the relevant enterprise for the supply of similar services which might be notably similar to the services or the relevant part of them, having regard to factors that include the nature and length of the events.
The primary purpose of industry standards is to make exceptional products compatible with every other and to make certain customers that they can thoroughly mix and suit products from exclusive brands. They pressure enterprise innovation, and price discounts and permit an expansion of value-effective, simple-to-use, holistic solutions.
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Answer: 3.59%
Explanation:
Real GDP per capita is the Real GDP divided by the population of the country.
Real GDP per Capita 2018
= 1,150,000,000/ 10,080,000
= 114.0873
= $114.0873
Real GDP per Capita 2019
= 1,430,000,000/ 12,100,000
= $118.1818
Percentage Change
= 
= 3.59%
Answer:
Beginning WIP= 122,000
Explanation:
Giving the following information:
Cost of goods manufactured= $524,000
Ending work in process= $79,000
Raw materials used in the production of $89,000
Direct labor of $145,000
Manufacturing overhead of $247,000
To calculate the beginning work in process we need to use the cost of goods manufactured formula:
cost of goods manufactured= beginning WIP + direct materials + direct labor + allocated manufacturing overhead - Ending WIP
524,000= Beginning wip + 89,000 + 145,000 + 247,000 - 79,000
Beginning WIP= 122,000
Based on the correlational analysis of X and Y that is given, we can infer that there is a linear relationship between X and Y.
<h3>What does the correlation analysis show?</h3>
The Pearson correlation coefficient shows if there is a linear relationship between given variables.
In the given table, the Pearson Correlation coefficient is not 0 for either variable which means that a linear relationship does in fact exist between the variables.
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