Why Is Sample Size So Important in Statistics?

Sample size relative to the size of the target population is an important factor in determining which kinds of statistical procedures can be used to test hypotheses. Generally, larger populations with large enough sample sizes are more generalizable than smaller populations and relatively small sample sizes. Conduct a Google search for a sample size calculator. Experiment with various population sizes and sample sizes at different confidence levels. Then, imagine a scenario within a population you might want to research. Estimate the size of the population. Develop an original response by sharing your research scenario and your estimate of the population size. Apply the sample size calculator to answer these questions: Based on the size your population, how big does your sample need to be to use parametric procedures at a 95% confidence level? Why might a smaller sample size, or not a larger enough one, necessitate the use of nonparametric statistical procedures? What does nonparametric mean in this case?