The economy of the North was based mainly on Manufacturing. Many immigrants from Europe began working in factories and producing goods (cloth) in the North and Northeners believed that slavery should farther then where it already was
While The economy of the South was based on agriculture and they firmly believe that Slavery should spread due to the big profit of cotton that was picked by slaves
Answer:
Knowledge and habilities of workers.
Explanation:
Human capital is people's education, health, skills, and talents, which can be applied at their jobs, thus improving their production and, therefore, the performance of companies.
This term is common in knowledge-intensive areas, where it is important to maintain, or continue to raise, human capital levels, through education and training. This is to stimulate economic growth.
A larger human capital means that a person can produce more and thereby also receive a higher salary. It is thus in the interest of individuals and nations to achieve a high level of human capital, through investments in education before working life and through experience and skills development during working hours.
Statistics are supposed to make something easier to understand but when used in a misleading fashion can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator. When the statistical reason involved is false or misapplied, this constitutes a <span>statistical fallacy</span>.
The false statistics trap can be quite damaging to the quest for knowledge. For example, in medical science, correcting a falsehood may take decades and cost lives.
Misuses can be easy to fall into. Professional scientists, even mathematicians and professional statisticians, can be fooled by even some simple methods, even if they are careful to check everything. Scientists have been known to fool themselves with statistics due to lack of knowledge of probability theory and lack of standardization of their tests.
