| 000 | 01881 a2200205 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20231030164430.0 | ||
| 008 | 230811b |||||||| |||| 00| 0 eng d | ||
| 020 | _a978-1526413826 | ||
| 082 |
_a519.5 _bGOR |
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| 100 | _aGorald, Stephen | ||
| 245 | _aHow to make sense of statistics | ||
| 260 |
_aLondon: _bSAGE Publications, _c2021. |
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| 300 |
_axxii, 289 p. _bref., ind. _c24 cm x 16 cm |
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| 500 | _aRequested By: Prof Banikanta Mishra -------------------------------------------------- | ||
| 521 | _aPart I: Introduction Chapter 1: Why we use numbers in research Chapter 2: What is a number?: Issues of measurement Part II: Basic analyses Chapter 3: Working with one variable Chapter 4: Working with tables of categorical variables Chapter 5: Examining differences between real numbers Chapter 6: Significance tests: how to conduct them and what they do not mean Chapter 7: Significance tests: why we should not report them Part III: Advanced issues for analysis Chapter 8: The role of judgement in analysis Chapter 9: Research designs Chapter 10: Sampling and populations Chapter 11: What is randomness? Chapter 12: Handling missing data: The importance of what we don’t know Chapter 13: Handling missing data: more complex issues Part IV: Modelling with data Chapter 14: Errors in measurements Chapter 15: Correlating two real numbers Chapter 16: Predicting measurements using simple linear regression Chapter 17: Predicting measurements using multiple linear regression Chapter 18: Assumptions and limitations in regression Chapter 19: Predicting outcomes using logistic regression Chapter 20: Data reduction techniques Part V: Conclusion Chapter 21: Presenting data for your audience | ||
| 650 | _xSocial sciences--Statistical methods | ||
| 650 | _xStatistics | ||
| 942 |
_2ddc _cBK |
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| 999 |
_c21787 _d21787 |
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