000			01628nam a2200289|i 4500
001			91425
005			20240206120147.0
010			_a978-3-031-28189-1 _dcompra
090			_a91425
100			_a20231023d2023 k||y0pory50 ba
101	0		_aeng
102			_aCH
200	1		_aIntroductory statistics for data analysis _bDocumento eletrn̤ico _fWarren J. Ewens, Katherine Brumberg
210			_aCham _cSpringer Nature Switzerland _d2023
215			_aX, 273 p. _cil.
303			_aThis book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Central Limit Theorem. Statistical topics then include parameter estimation with confidence intervals, hypothesis testing, chi-square tests, t tests, and several non-parametric tests. Flow charts are frequently used to facilitate an understanding of the material considered. The examples and problems in the book all concern simple data sets which can be analyzed with a simple calculator; however, the R code required to complete many examples and problems is provided as well for those that are interested.
606			_aStatistics
606			_aNonparametric statistics
606			_aBiometry
680			_aQA276-280
700			_931921 _aEwens _bWarren J.
701			_971252 _aBrumberg _bKatherine _4070
801		0	_aPT _gRPC
856	4		_uhttps://doi.org/10.1007/978-3-031-28189-1
942			_2lcc _cF _n0