Sample Size and Statistical Assumptions Certain basic assumptions are necessary to allow for the statistical analysis of public health data. However, the validity of these assumptions can be affected by the sample size being analyzed. The purpose of this assignment is to refresh your knowledge of the basic assumptions underlying the biostatistical analysis and to consider how these assumptions are affected by the sample size being analyzed. Using the South University Online Library, the Internet, and your text readings, research the following statistical topics: Statistical power Central limit theorem (CLT) Type I error Type II error Four levels of measurement On the basis of your research and understanding, respond to the following: Find and state the definition of statistical power that you identify with. State the definition of statistical power in your own words. Compare and contrast type I and type II errors. Explain how power is affected by sample size. In your own words, define the four (4) levels of measurement, and provide two examples of each of the four levels of measurement. You will use these examples in your project for weeks 2-5, so make sure to choose example levels of measurement that you are interested in using