Statistics and Probability with R
Statistics can be defined as the collection, classification, analysis, and interpretation of data. It is a mathematical discipline traditionally divided into two fields: descriptive statistics and inferential statistics. It makes use of the tools and methods of probability theory. Nowadays, statistics is an interdisciplinary knowledge area, used in any field where data analysis is needed. This chapter deals with descriptive statistics and probability, including central tendency measurements, variability measurements, random variables, and probability distributions, with a special focus on the binomial and normal probability distributions.
- 20.Dalgaard, P. (2008). Introductory statistics with R. Statistics and computing. New York: Springer.Google Scholar
- 40.Hsu, H. (2010). Schaum’s outline of probability, random variables, and random processes. Schaum’s Outline Series (2nd ed.). New York: McGraw-Hill.Google Scholar
- 45.Jakir, B. (2011). Introduction to statistical thinking (with r, without calculus). http://pluto.huji.ac.il/~msby/StatThink/index.html. Accessed 01.08.2011.
- 69.Montgomery, D. (2005). Introduction to statistical quality control (6th ed.). New York: Wiley.Google Scholar