Kemba's labor is called a resource as it is what his employer pays for.
For better understanding, we have to understand what resource is:
- Resource can simply be defined as anything that is used to answer or satisfies human needs and wants. it can be shown on a variety of levels, from worldwide to an individual household
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There are various types of resources available to man. they include; Natural Resources and human resources.
- Human Resources simply entails the use of the human population such as individuals, their abilities and skills. In business world, it is often known as Human Capital.
From the above, we can say that Kemba's labor is called a resource as it is what his employer pays for.
You can learn more about Resource from:
brainly.com/question/24104055
A eulogy<span> (from εὐλογία, eulogia, Classical Greek for "praise") is a </span>speech<span> or writing in praise of a person(s) or thing(s), especially one who recently died or retired or as a term of endearment. </span>Eulogies<span> may be given as part of funeral services.
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Answer:
It is based on the belief that, regardless of how you deal with an ethical dilemma, human dignity must be preserved.
Explanation:
The true statement with regard to the rights approach is <em>It is based on the belief that, regardless of how you deal with an ethical dilemma, human dignity must be preserved. </em>That is to say that the best action protects the moral rights of the people involved. Human beings have the choice of deciding how they want to live their lives and this has to be respected, and we have to respect others in the same way.
Answer:
A correlation is only a mathematical means of describing the relationship between variables. When it is a positive correlation, it means when the value of one increases, for example, the value of the other variable also increases or when one decreases, so does the other. A negative correlation would show that as one variable increases in value, the other decreases. These relationships are non-causal as you're not manipulating variables to control them to see what is causing this relationship. Sometimes, non-causal covariance (or variables that don't have an effect on each other vary cooincidentally in a pattern-like fashion, when there is actually another variable causing the relationship going on.
Explanation:
In the case of this example, it is doubtful that having money causes you to have a higher grade point average. So while we see an increase in grade point average with those who have high income it could be due to other factors, like people with more money have access to learning tools, tutors and other things that people with less money don't have access to. So it is access to tools, not money that is actually causing a difference. There are likely dozens if not hundreds of other potential confounded variables that could be causing this observation.
