Answer: B. mental processes
Explanation: In the context of the six sections of the Position Analysis Questionnaire (PAQ), _____ represent the reasoning, decision-making, planning, and information-processing activities involved in performing a job.
A. job contexts
B. mental processes
C. special codes
D. information inputs
The Position Analysis Questionnaire (PAQ) is relatively complex, and requires that an employee must have the reading level of a college graduate to be able to complete it and evaluates job skill level and basic characteristics of applicants for a set match of employment opportunity. It measures the characteristics of a job and relates them to human characteristics, such as information input, mental processes, work output, relationships with others, job context, and so on.
Mental processes in the context of the six sections of the Position Analysis Questionnaire (PAQ) represents the reasoning, decision-making, planning, and information-processing activities involved in performing a job.
Look this up this is really hard to understand
The change that would encourage GDP growth to slow is the automobile industry reduces hours for factory workers.
<h3>What would cause GDP growth to slow?</h3>
Gross domestic product is the total sum of final goods and services produced in an economy within a given period which is usually a year
If the hours of work for factory workers is reduced, output would be reduced and this would slow GDP growth.
To learn more about GDP, please check: brainly.com/question/15225458
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Answer:
E. The quantity of beef supplied decreases and the supply of beef is unchanged.
Explanation:
In the market for beef, the price of a pound of beef falls. The effect is "the quantity of beef supplied decreases and the supply of beef is <u>unchanged</u>. The reason is that any price change of the product will not shift the demand or supply but changes the quantity supplied.
Answer:
The correct solution is "$42.94".
Explanation:
The given values are:
D0 = 4
Ks = 15%
As we know,
⇒ 


By using the Gordon Model, we get
⇒ 

($)