Answer:
Descriptive research
Explanation:
If our goal is to estimate the prevalence of a disease or exposure in a population, we are talking about descriptive research. Whenever we are trying to describe the characteristics of a population or a phenomenon (in this case the frequency of a disease and exposure to it) we are doing a descriptive study. The results of this type of studies are usually represented in descriptive statistics and percentages. For example, from this sort of survey we would find out the percentage of population that suffer this disease.
Answer:
a. when cultural identity and group boundaries are maintained while participation in political and economic institutions is conducted on an equal basis.
Explanation:
Equalitarian pluralism describes a society that embraces the all the cultural diversities within that society and treats everyone with equality regardless of their culture or beliefs. It is a direct opposite of inequalitarian pluralism where a group or society view diversity in culture as a degradation of a particular "cultural standard".
Reading your comments on A being incorrect, I would have to say C since A is true. Hope this helps :)
Answer: The act’s main purpose was not to raise revenue from the colonies but to bail out the floundering East India Company, a key actor in the British economy. The British government granted the company a monopoly on the importation and sale of tea in the colonies. The colonists had never accepted the constitutionality of the duty on tea, and the Tea Act rekindled their opposition to it.
Explanation:
Changing a set of scores that were in the form of number correct into a set of scores that now represent percent, is an example of data transformation.
The process of changing the format, structure, or values of data is known as data transformation. Data can be modified at two points in the data pipeline for initiatives including data analytics. Data transformation serves as the middle phase in an ETL (extract, transform, load) process, which is commonly used by businesses with on-premises data warehouses.
The benefits of data transformation are:
•Data that has been transformed might be simpler to use for both people and machines.
•The compatibility of applications, systems, and data formats is made possible by data transformation. It could be necessary to modify data differently if it is utilized for different reasons.
Learn more about data transformation here:
brainly.com/question/17996015
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