Many manufacturing units were relocated to the urban areas due to the introduction and usage if steam power.
Explanation:
Second half of the nineteenth century is known for the factories that used steam power in the urban areas. Separate buildings housed the steam engine, and it inspired the development of factory model. Advance in iron and steel industry and rail road construction companies urged the factorial set up in cities rather than the towns.
In the countryside, many factories were set up near the rivers so that the finished products were easily transported to different places. Due to the invention of the steam engines, the transportation of finished goods was easy and feasible.
Answer:
<em>Comparative analysis.</em>
Explanation:
The fundamental premise of the <u>comparative analysis </u>is that <u>research can reveal more about the subject of the study if a set of data about first subject is compared to the same set of data about another subject. </u>
Essentially, it works from the idea that to understand anything about something we have to compare it to anything else. For example, darkness is dark only comparing to light. Without this comparison, darkness does not have its meaning of the absence of light.
Comparative analysis as a type of analysis is widely used in social science, in particular as Qualitative comparative analysis.
To evaluate a patient for hypoxia, the physician will carry out the arterial blood gas (ABG) analysis.
Hypoxia refers to the deficiency or lack of oxygen in the blood. In extreme cases, it might be even fatal to the individual and lead to death.
In the arterial blood gas (ABG) analysis, a sample of blood is taken from the artery and measured for the amount and pressure of the gases like oxygen and carbon dioxide in the blood.
This is a laboratory test that shows the amount of the required gases in the blood. By measuring the amount of the gases, we can understand if the person has hypoxia or not. Thus, this test is carried on the person.
To learn more about hypoxia,
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Answer:
- Sampling bias.
Explanation:
Sampling bias is demonstrated as the partiality or bias displayed while selecting the samples(selection of non-random sample with lower sampling probability) for a particular survey or research which eventually affects the conclusion of the .
As per the question, the most significant problem with the given inference would be 'sampling bias' as the samples are not selected on random basis(interviewed people support arts on money basis) which is reflected through the observation that 'a large majority of Americans are willing to support the arts by giving money to local theater groups.' This bias in sampling may affect the validity of the results and lead to a faulty conclusion.
Social network analysis is a technique that attempts to "find groups of individuals who cooperate, to find individuals who don't team up yet should, or to find specialists in particular subject areas."
Social network analysis (SNA) is the way toward exploring social structures using systems and chart hypothesis. It describes organized structures as far as nodes (singular on-screen characters, individuals, or things inside the system) and the ties, edges, or connections or collaborations that associate them.
