<span>The commander's conclusion is based on utilitarianism, which is the belief that whatever action benefits the most people is the morally correct action to take. Even if that action is harmful to oneself or even illegal.</span>
Answer: B) a collection of articles used as the first constitution of the United States
The bystander effect is the presence of other people creating a diffusion of responsibility.
<h3>What is bystander effect?</h3>
- According to the bystander effect, commonly referred to as bystander apathy, people are less likely to assist a victim when several people are present.
- In basic psychology textbooks, the horrifying murder of a young lady named Catherine "Kitty" Genovese is the most frequently cited instance of the bystander effect.
- On March 13, 1964, a Friday, Genovese, then 28 years old, was on his way home from work.
<h3>Describe a bystander impact example.</h3>
- The young woman Kitty Genovese, who was murdered in Queens, New York, in 1964 as several of her Neighbours watched, is the most famous real-life example of the bystander effect.
- Before it was too late, no one stepped in.
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The correct answer is problem-focused coping
When focused on the problem, it is an active strategy in which the subject undertakes to manage or modify the problem in order to control or deal with the threat; when focused on emotions, it aims to regulate the response to the stressful situation by controlling the reaction caused by the stressor the person is with; when focused on social support it aims to support other people, when focused on the miracle, it is expected that some supernatural phenomenon independent of the individual's activity.
Changing a set of scores that were in the form of number correct into a set of scores that now represent percent, is an example of data transformation.
The process of changing the format, structure, or values of data is known as data transformation. Data can be modified at two points in the data pipeline for initiatives including data analytics. Data transformation serves as the middle phase in an ETL (extract, transform, load) process, which is commonly used by businesses with on-premises data warehouses.
The benefits of data transformation are:
•Data that has been transformed might be simpler to use for both people and machines.
•The compatibility of applications, systems, and data formats is made possible by data transformation. It could be necessary to modify data differently if it is utilized for different reasons.
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