<span>The contact hypothesis has been described as one of the best ways to improve relations among groups that are experiencing conflict. Gordon W. Allport (1954) is often credited with the development of the contact hypothesis, also known as Intergroup Contact Theory.
When jenny's parents told her that they were moving to alabama, she was horrified because she secretly thought that southerners were mostly poorly educated and racist. after experiencing the foods, traditions, and people in her new state, she was surprised to realize that southerners weren't all alike, and that many of her new friends were just like her. this is an example of: the contact hypothesis.</span>
Answer:
Openness to experience.
Explanation:
Kevin is most likely to score very high when he is provided 'openness to experience.' It is one of the five domains that is employed to describe human personality in the big five personality traits or five-factor model. This domain is attributed to the individuals possessing active imagination, intellectual curiosity, aesthetic sensitivity, awareness of inner feelings, etc. Thus, Kevin would belong to this domain as the receptiveness to experience would help him in exploring his creative and artistic skills and also in absorbing the new information obtained from new experiences that promotes broad-thinking.
Answer:
speed, motion
Explanation:
Anything that occurs outside the point of fixation i.e., anywhere you are concentrating your vision is happening in your peripheral vision. There are three ranges of peripheral vision far peripheral, mid-peripheral and near-peripheral. The categorization is done on the basis of distance from the visual field.
Human peripheral vision is comparatively weaker than other animals. This is due to the number of gangelion cells in the retina is and low at the edges. However any motion in the peripheral vision is easier to notice because of Magno cells.
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.
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