The transition to early adulthood is the Levinson's phases is Ben demonstration.
Option b
<h3><u>Explanation:</u></h3>
The Levinso's phase which has been demonstrated here is the transition to early adult hood. This is the time or phase where the individuals tend to grow more self esteem, self satisfaction and self well being. They tend to think more about them. Like in the above case, Ben had made so many plans about his future, his life and career but there nothing he has planned for his family.
As he has build more self importance that's why he is very conscious about himself. This behavior is seen in the early adulthood, so one must be careful as if this self esteem becomes more important and keeps on growing than can be against the moral and ethics.
Answer:
The last one,Hamamoto's work offers opportunities to people of all abilities.
"Theoretically the workers share in the profits" is the one among the following choices given in the question that <span>is a characteristic of communism only. The correct option among all the options that are given in the question is the third option or option "C". I hope that this is the answer that has come to your desired help.</span>
Cognitive dissonance reduction is the correct answer.
Cognitive dissonance is the change of thoughts, beliefs and perceptions that cause discomfort and consequently changes one's attitudes. Rhonda had a misconception about the sororities group that after attending an event and learning about the good things the group did for the community, she contradicted herself and changed her views towards them.
A statistically significant result indicates that your findings are not likely due to chancea statistically significant result indicates that your findings are not likely due to chance.this is a true statement.
Statistical significance provides a cut-off value for determining whether a sample's results and observable effects are primarily due to screening and accurately represent the characteristics of the study population.This significance threshold is often 0.05-5%, regardless of the need for documentation. This is because the implications of our findings recognize the importance of both Type I and Type II errors. When we say that a result is "statistically significant", we mean it is statistically significantly different from 0.
There is usually a null hypothesis that the parameter is equal to zero. Through statistical analysis, tests can be performed to prove that such parameters are statistically significantly different from zero. Therefore, you should know that this value is statistically significantly different from 0 when viewed in text.
Learn more about statistical significance here:
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