Not all statistics are the same. It’s useful to discern between the various types of statistics when doing analysis. Remember;
 a statistic is a value obtained from the sample or a calculation.
 a parameter is a value found or estimated from the population.
Analytical statistics aka Inferential Statistics

 Sometimes it is unrealistic to get an exhaustive population study – ex. all of America so we use a sample to infer something about the whole.
 Most of the time we infer something about the whole population.
 Developing a confidence interval is an example of using Analytical statistics.
 Also known as inferential statistics.
 http://www.sixsigmadaily.com/terms/inferentialstatistics
Descriptive statistics (aka Enumerative statistics)

 Typically used for the whole entire population, not just a sample.
 Using a graph or population parameter
 Organize or summarize information
 Mean, median, mode
 Graphs, charts & plots
Assumptive statistics

 No such thing.
http://www.micquality.com/six_sigma_glossary/analytical_descriptive_statistics.htm(Descriptive vs. inferential statistics)
ASQ Six Sigma Green Belt Kinds of Statistics Questions
Question: The statistics that summarize a population are referred to as
(A) categorical statistics
(B) descriptive statistics
(C) probabilistic statistics
(D) control statistics
Answer: (B) Descriptive statistics summarize a population. The other options are nonsensical.
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