Answer:
D. Analyzing threat/hazard and jurisdiction information enables the planning team to identify capabilities needed to manage associated risks.
Explanation:
In emergency situations, such as attacks and threats to national sovereignty and the physical integrity of citizens, emergency plans are used to coordinate the response of planning teams to the best of their ability. Thus, the team will seek to rely on legal and strategic information to minimize impacts and risks.
Broadly defined, justice is the maintenance or administration of what is <u>fair</u>.
Justice is the idea that there should be a balance between a person's merits (what they deserve) and the good and terrible things that happen to them or are assigned to them. For practically all Western accounts, Aristotle's exposition of the virtue of justice served as the beginning point.
According to him, treating comparable circumstances similarly is the essence of justice. This principle has given subsequent philosophers the challenge of determining which parallels (need, desert, or talent) are pertinent.
Aristotle makes a distinction between distributive justice (the equitable sharing of wealth or other assets) and reparative justice (the just punishment of a person for a wrong they have committed) (retributive justice).
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Answer:
The Kilimanjaro is associated with its beautiful white peak, the snow of the mountain´s glaciers. Due to climate change and warming, the glaciers have practically disappeared.
Explanation:
Spurious type of relationship exists between the independent (x) and dependent (y) variables if the effect of x on y disappears when a control variable (z) is introduced.
A link between two variables that looks to be causal but isn't is referred to as a spurious correlation (or spuriousness). Any reported dependencies between variables are solely the result of chance or are both a result of an unidentified confounder when there is misleading correlation.
A link between two variables that appears to be a causal relationship but isn't is known as a spurious correlation in statistics. A cause-and-effect relationship between two variables is referred to as a causal relationship when one variable acts in a way that directly impacts the other.
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