Industrialization - the United States was primarily a farming country up to the Industrial Revolution. With industrialization came a total switch in the types of jobs people performed. Working in a factory or an office is completely different from working a farm.
Immigration - with all these new factory jobs being created the need for cheap almost expendable labor was required. Industries knew this and encouraged immigration; immigrants knew this and flocked to America to work the factories for a decent wage (at least to them). Native-born Americans didn't like this - immigrants took their jobs, and at lower wages!
Urbanization - in the reverse of farming communities, great cities arose surrounded by factories and offices. The jobs were there, but the pollution spewed by industry and the low wages paid was not much of an improvement over dirt-poor farming.
On the whole, the switch from an agrarian society (farming) to an industrial society (big factories in big cities) played havoc with American life. Hope this helps a lot by By Hugi445:)
Answer:Many countries of Central America have a shared history. This shared history has been influenced by the Maya, the Spanish, and the United States. In several Central American countries, the Maya were building large cities with pyramids and temples by about AD 250.
Explanation:
Its false just look it up on google hope this helps.
Answer:
<u><em>The box;</em></u><em> </em><u><em>the basket
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Explanation:
Theory of Mind <em>refers to the ability to comprehend other people's emotional mental states and acknowledge that mental states may differ from ours.</em>
Developing a mind theory is a main phase in the development of a child.
A very well-developed mind theory helps individuals resolve conflicts, form relationships, and relatively predict the behavior of other people.
Answer:
From a statistical point of view, participants do not have enough information. To extrapolate statistical data, at least 30 subjects should be observed to make an inference, considering the traditional quantitative analysis and using the central limit theorem.
Explanation:
The central limit theorem, indicates that, in very general conditions, if Sn is the sum of n random independent variables and of not null but finite variance, then the function of distribution of Sn approximates to a normal distribution or Gauss distribution, therefore, the number of variables is quite enough in size to establish that the sample shares “normally” a characteristic such as “being obese” in the example referred regarding the tribe on the pacific island.
