The marginal analysis will be least beneficial when D. deciding whether to take a lunch break or knock on another door as a door-to-door salesperson.
<h3>What is marginal analysis?</h3>
Marginal analysis simply means an examination of the additional benefits and the additional cost that can be incurred on a product.
In this case, marginal analysis will be least beneficial when deciding whether to take a lunch break or knock on another door as a door-to-door salesperson.
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Answer:
increased
Explanation:
The correct answer is that the equilibrium wage increased as the equilibrium quantity of labor increased.
D the lower the taxes(I searched it up)
Vitalink company does marketing research and then plans, creates, and places various forms of paid communications about its clients' products and services. vita link company is an advertising agency.
Advertising agencies work with businesses to design and execute advertising campaigns and measure their success. You can also oversee promotions, branding, and marketing strategies.
The Big Five Advertising Agencies consist of WPP plc, Omnicom Group, Publicis, Interpublic Group of Companies, and Dentsu. Global advertising spending exceeded $563 billion in 2019. North America is the largest investor in this sector, followed by Asia and Western Europe.
External companies are known as advertising agencies. Examples of international advertising agencies are WPP and Omnicom Group.
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Answer:
The answer is: A) degree to which the data is an accurate portrait of the target population.
Explanation:
To explain data generalizability I like to use election polls as an example. There are over 200 million voters in the US, and polls only cover a few thousands of voters, it is impossible to survey the whole population. Data generalizability refers to how well does the election polls reflect the real outcome of an election. Can the data sample used in the polls serve as a true parameter to know the real outcome of the election? Some polls are accurate and others aren't, accurate polls have high data generalizability.