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Klio2033 [76]
3 years ago
8

People vote on the members of the Supreme Court. a. True b. False

Social Studies
1 answer:
dmitriy555 [2]3 years ago
7 0
 the answer is b. false, they are appointed 
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To reduce the likelihood of negligent hiring lawsuits organizations should _____
Sophie [7]

To reduce the likelihood of negligent hiring lawsuits organizations should <u>the plaintiff must present evidence the injury or harm was a foreseeable consequence of hiring the unfit employee.</u>

When an employer knew or should have known of an employee's potential risk to cause harm, or when the risk would have been discovered by reasonable research, the employer may be held accountable for any injury caused by that person to third parties under the doctrine of negligent hiring.

When a candidate is placed without first conducting proper due diligence, this is considered negligent hiring. More than half of job applicants lie on their applications or resumes. It is crucial to learn as much as possible about candidates before placing them, even if certain information about them is unlikely to affect your recruitment firm or your client's business. Make sure you check references thoroughly to avoid charges of negligent hiring. Don't just refer the first person you come across when hiring.

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To know more about negligent hiring refer to: brainly.com/question/6788093

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8 0
2 years ago
How did technology transform agriculture and created a population shift in Georgia ?
Mila [183]
Technology transform agriculture of Georgia into new frontiers and new rise due to improvement of their means of life. It increase the population growth of Georgia into an unprecedented scale that surpasses a lot of other regions and states. Because of technology the way the agriculture was processed improved thus making it more efficient.
8 0
3 years ago
In order for researchers to be able to say that Variable A causes Variable B, they must eliminate the possible influence of
Gwar [14]

Answer:

Confounding variable

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The confounding variable is the variable that is extra in variables. It is not counted by the experimenter in the research experiment. With the help of confounding variables, it can be explained that it is cor-relational but in actual it is not there. This variable introduces the bias ness in the experiment.

confounding variable is the variable that affects the variable hidden on its outcome. But technically if we see confounding is not a true bias. Bias occurs when there is an occurrence of an error in data collection. In confounding variable there is positive bias occur when an association of bias is away from null and negative bias occur when it is associated with null.  

8 0
3 years ago
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Pls help will mark as brainliest
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Explanation:

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