Answer:
This is an answer that requires a personal opinion. I will give you my opinion with an explanation so you can understand it and if you want, you can modify it.
Explanation:
I agree.
What this question proposes to us is that there is no absolute truth when it comes to morality.
There is no one truth about morality that applies to everyone as if it were a rule. And this happens because there are many sets of subjective norms, beliefs, values and customs that direct or guide the behavior of groups of people in society and that vary depending on each person.
Something that is moral for a certain cultural group may not be for another in another part of the world.
That is why in my personal opinion I agree that there is no objective 'truth' in morality. "
Ask for suggestions, be kind, be sympathetic to better understand the issue
The correct answer is: following the law of the land. Please mark Brainliest if helpful, thx!
Author identification is the term that best matches the description given. Hence, option A is correct.
<h3>What is author identification?</h3>
Author identification is the process of selecting the most likely author of unidentified works from a group of potential authors. Authorship identification is frequently taken into account in text categorization tasks.
It covers the process of choosing the right candidate from a set of contenders to be the content's creator by using relevant information gleaned from the text. As a result, stylometry identifies relevant traits that provide context for authorial difference.
Thus, option A is correct.
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Answer:
In probability and statistics, the reciprocal distribution, also known as the log-uniform distribution, is a continuous probability distribution. It is characterised by its probability density function, within the support of the distribution, being proportional to the reciprocal of the variable. The reciprocal distribution is an example of an inverse distribution, and the reciprocal of a random variable with a reciprocal distribution itself has a reciprocal distribution.
Explanation:
