After covering several inferential statistics topics, you are ready to conduct your own research and use the topics learned to infer from your data.

After covering several inferential statistics topics, you are ready to conduct your own research and use the topics learned to infer from your data.

After covering several inferential statistics topics, you are ready to conduct your own research and use the topics learned to infer from your data. It is fitting that the final topic in the course involves sampling and simulation. It is also fitting that you will learn about these topics by conducting research on them.

In a well-organized, 3-4 page essay with appropriate citations (in this case, website addresses), discuss the following:

1. At least 10 types of sampling techniques or methods, along with their descriptions, strengths and weaknesses, and an example of each.

2. What is simulation? Historical simulation? Monte Carlo simulation. Provide at least two applications of both historical and Monte Carlo simulation.

……………………………..Answer preview………………………………

Sampling and simulation are some of the topics covered in inferential statistics and ones that are widely used in carrying out research work by various researchers. In this essay, the paper discusses sampling techniques; their pros and cons and offers a definition and types of simulation; historical and Monte Carlo. Further, the paper discusses their applications in research work……………………………………………..

APA

930 words

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