Answer:
The early philosopher is Aristotle.
Explanation:Aristotle argues that our capacity for perception and cognition put us in touch with the characteristics of the world, and therefore a constant skepticism is not required. According to Aristotle, exposing the phenomena (phainomena) leads us to think about our place in the universe and philosophize.
When we find that a person has high status in certain valued dimensions and low status in others, this is <u>Status Incongruence. </u>
Status incongruence occurs:
- When a person scores high in a several dimensions but low in others
- When a person has a job that does not match their characteristics
When status incongruence happens, it can lead to conflict in the workplace as jealousy may arise in coworkers that would be directed towards the person with status incongruence.
In conclusion, the situation described is status incongruence.
<em>Find out more at brainly.com/question/1191818. </em>
<span>1. </span>People
in that country can do whatever they want because they are free to do so.
<span>2. </span>The
result is lack of discipline and the government will not do anything about it,
<span>3. </span><span>The
people has the power to chose who will govern the country and this situation can
be manipulated by offering money especially in underprivileged areas.</span>
She worked hard and made many speeches for women's rights
The weighted moving average forecasting is suited particularly well for a stable/stationary series of data set.
<h3>What is a weighted moving average?</h3>
This refers to a technical indicator that assigns a greater weighting to the most recent data points and less weighting to data points in the distant past. This average is derived by multiplying each number in the data set by a predetermined weight and summing up the resulting values.
In conclusion, as the weighted moving average forecasting is mostly suited particularly well for a stable/stationary series of data set, then, it will give a more accurate result for the forecast.
Read more about weighted moving average
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