Answer:
Yes, an influx of immigrants to the United States led to to industrialization and urbanization of major cities all across the country.
Explanation:
In United States, Industrialization and urbanization was the result of immigration. Majority of the people moved from rural to urban areas in U.S.
New York City became the center of finance, industry, shipping and trade. There was growth in art and literature. There was growth of cities. Immigrants got employment and were happy to accept low wages as they got a more settle life in the cities. They could support their families financially more than as compared to their rural lives.
As there was more production, industries reinvested in new technology, which improved production and eventually workers could also get higher wages.
As a result of all this, cities grew at a much higher rate.
Answer:
climax
Explanation:
bc its when you start having and introducing the conflict
Answer:
The answer is Subjective Distress
Explanation:
Antisocial personality disorder is a mental condition whereby a person has a long-term destructive pattern of exploiting, manipulating, or violating the rights of anyone without remorse. They cause discomfort or distress to others by being deceitful, impulsive, showing socially unacceptable behavior.
The general diagnostic criteria for a personality disorder according to the DSM-IV-TR (Diagnostic statistical manual of mental disorders), the pattern leads to clinically significant distress or impairment in social occupational, or other important areas of functioning. The personality traits must be inflexible, maladaptive and cause functional impairment or subjective distress.
Answer:
Time Capsule
Explanation:
Union: Blue Coat, Bayonet, Musket, Riding Sword, a picture of his s3xy wife, a letter, a canteen, alcohol, maybe a bible
Answer:
Confounding variable
Explanation:
The confounding variable is the variable that is extra in variables. It is not counted by the experimenter in the research experiment. With the help of confounding variables, it can be explained that it is cor-relational but in actual it is not there. This variable introduces the bias ness in the experiment.
confounding variable is the variable that affects the variable hidden on its outcome. But technically if we see confounding is not a true bias. Bias occurs when there is an occurrence of an error in data collection. In confounding variable there is positive bias occur when an association of bias is away from null and negative bias occur when it is associated with null.