The answer is D.
<span>Fatima may be applying Stereotypes. A stereotype is defined as a permanent, over-generalized belief about a specific set or people class. This happens when one is generalizing that their belief is correct for every single people. </span>
<h2>The Answer Is:</h2><h3><u>B</u><u>:</u><u>Congress could not decide whether to allow slavery in the territories</u></h3>
Yes, because one system would have to much power and be able to have full control and do whatever they want. This would lead to corruption and tyranny.
Answer:
c
Explanation:
if you have a country that don't have enough resources to provide to the people your country will crumble. for instance if there is not enough water filter companies to clean water in you country people will die of thirst
I hope this makes sense but tell me if I'm right
A Temporal Investigation of Crash Severity Factors in Worker-Involved Work Zone Crashes: Random Parameters and Machine Learning Approaches:
Reason:
In the context of work zone safety, worker presence and its impact on crash severity has been less explored. Moreover, there is a lack of research on contributing factors by time-of-day. To accomplish this, first a mixed logit model was used to determine statistically significant crash severity contributing factors and their effects. Significant factors in both models included work-zone-specific characteristics and crash-specific characteristics, where environmental characteristics were only significant in the daytime model. In addition, results from parameter transferability test provided evidence that daytime and nighttime crashes need to be modeled separately. Further, to explore the nonlinear relationship between crash severity levels and time-of-day, as well as compare the effects of variables to that of the logit model and assess prediction performance, a Support Vector Machines (SVM)
What is meant by machine learning approach?
Machine Learning is an AI technique that teaches computers to learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model.
Learn more about random parameter approach:
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