Gorald, Stephen <br/><br/>
How to make sense of statistics 

 - London:  SAGE Publications,  2021. 
 - xxii, 289 p.  ref., ind.  24 cm x 16 cm 
<br/><br/> Requested By: Prof Banikanta Mishra<br/>-------------------------------------------------- 
<br/><br/> Part I: Introduction<br/><br/>Chapter 1: Why we use numbers in research <br/>Chapter 2: What is a number?: Issues of measurement<br/><br/>Part II: Basic analyses<br/><br/>Chapter 3: Working with one variable<br/>Chapter 4: Working with tables of categorical variables<br/>Chapter 5: Examining differences between real numbers<br/>Chapter 6: Significance tests: how to conduct them and what they do not mean<br/>Chapter 7: Significance tests: why we should not report them<br/><br/>Part III: Advanced issues for analysis<br/><br/>Chapter 8: The role of judgement in analysis<br/>Chapter 9: Research designs<br/>Chapter 10: Sampling and populations   <br/>Chapter 11: What is randomness?    <br/>Chapter 12: Handling missing data: The importance of what we don’t know  <br/>Chapter 13: Handling missing data: more complex issues  <br/><br/>Part IV: Modelling with data<br/><br/>Chapter 14: Errors in measurements <br/>Chapter 15: Correlating two real numbers <br/>Chapter 16: Predicting measurements using simple linear regression <br/>Chapter 17: Predicting measurements using multiple linear regression   <br/>Chapter 18: Assumptions and limitations in regression    <br/>Chapter 19: Predicting outcomes using logistic regression  <br/>Chapter 20: Data reduction techniques  <br/><br/>Part V: Conclusion<br/><br/>Chapter 21: Presenting data for your audience 
<br/><br/><label>ISBN: </label>978-1526413826 
<br/><br/><label>Subjects--Topical Terms: </label>--Social sciences--Statistical methods--Statistics
<br/><br/><label>Dewey Class. No.: </label>519.5  / GOR