000 | 03144cam a22004217i 4500 | ||
---|---|---|---|
003 | OSt | ||
005 | 20231103112543.0 | ||
020 |
_a9781473924895 _q(hardback) |
||
020 |
_a1473924898 _q(hardback) |
||
020 |
_a9781473924901 _q(paperback) |
||
020 |
_a1473924901 _q(paperback) |
||
040 |
_aYDX _beng _cYDX _erda _dOCLCQ _dBTCTA _dBDX _dWURST _dZ5A _dOCLCF _dYDX _dCDX _dL2U _dOCL _dEAU _dOCLCQ _dUPM _dPAU _dFRG _dDLC |
||
041 | _aEng | ||
042 | _alccopycat | ||
050 | 0 | 0 |
_aQA276.45.R3 _bS75 2018 |
100 | 1 |
_aStinerock, Robert Noel, _eauthor. |
|
245 | 1 | 0 |
_aStatistics with R : _ba beginner's guide / _cRobert Stinerock. |
264 | 1 |
_aLondon ; _aThousand Oaks, California : _bSAGE, _c2018. |
|
264 | 4 | _c©2018 | |
300 |
_axix, 369 pages : _billustrations ; _c24 cm |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_aunmediated _bn _2rdamedia |
||
338 |
_avolume _bnc _2rdacarrier |
||
500 | _aIncludes index. | ||
505 | 0 | 0 |
_g1. _tIntroduction and R Instructions -- _g2. _tDescriptive Statistics: Tabular and Graphical Methods -- _g3. _tDescriptive Statistics: Numerical Methods -- _g4. _tIntroduction to Probability -- _g5. _tDiscrete Probability Distributions -- _g6. _tContinuous Probability Distributions -- _g7. _tPoint Estimation and Sampling Distributions -- _g8. _tConfidence Interval Estimation -- _g9. _tHypothesis Tests: Introduction, Basic Concepts, and an Example -- _g10. _tHypothesis Tests About Means and Proportions: Applications -- _g11. _tComparisons of Means and Proportions -- _g12. _tSimple Linear Regression -- _g13. _tMultiple Regression. |
520 |
_a"The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for anyone hoping to: Complete an introductory course in statistics Prepare for more advanced statistical courses Gain the transferable analytical skills needed to interpret research from across the social sciences Learn the technical skills needed to present data visually Acquire a basic competence in the use of R. The book provides readers with the conceptual foundation to use applied statistical methods in everyday research. Each statistical method is developed within the context of practical, real-world examples and is supported by carefully developed pedagogy and jargon-free definitions. Theory is introduced as an accessible and adaptable tool and is always contextualized within the pragmatic context of real research projects and definable research questions"-- _cPublisher's website. |
||
650 | 0 |
_aStatistics _xData processing. |
|
650 | 0 | _aR (Computer program language) | |
650 | 0 |
_aStatistics _xComputer programs. |
|
650 | 7 |
_aStatistics _xData processing. _0(OCoLC)fst01132113 |
|
650 | 7 |
_aR (Computer program language) _0(OCoLC)fst01086207 |
|
650 | 7 |
_aStatistics _xComputer programs. _0(OCoLC)fst01132111 |
|
650 | 7 |
_a54.53 programming languages. _0(NL-LeOCL)077605314 |
|
906 |
_a7 _bcbc _ccopycat _d2 _eepcn _f20 _gy-gencatlg |
||
942 |
_2lcc _cBK |
||
999 |
_c4217 _d4217 |