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.
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
- 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.