If a sample is large, it is difficult to observe the various characteristics or to compute statistics such as mean and _____

Define the central limit theorem provide an example from your field of interest.Define the Law of large number and provide an example from your field of interest.Both the central limit theorem and law of large number rely on the sample being sufficiently large. How large should the sample be? Does it have to be infinite, or a finite sample size is enough?

Which is NOT a strength of quantitative research?a.Findings can be generalizedb.Data can be very consistent, precise, and reliablec.Sample used is the whole populationd.Relatively easy to analyze

If you were performing inferential statistics on a small set of numerical data then the best test to use would be

An example of statistical inference is Group of answer choicesa population meandescriptive statisticscalculating the size of a samplehypothesis testing

Given a dataset, describe the appropriate statistical tests for analysis.Discuss the limitations of different statistical methods.