Summaries per chapter with the 5th edition of Statistical Methods for the Social Sciences by Agresti

Summaries per chapter with Statistical Methods for the Social Sciences

Summaries per chapter with Statistical Methods for the Social Sciences

  • For summaries with all chapters of the 5th edition of Statistical Methods for the Social Sciences by Agresti, see the supporting content of this page

Table of content

  • Chapter 1 - What are statistical methods?
  • Chapter 2 - What kind of samples and variables are possible?
  • Chapter 3 - What are the main measures and graphs of descriptive statistics?
  • Chapter 4 - What role do probability distributions play in statistical inference?
  • Chapter 5 - How can estimates for statistical inference be made?
  • Chapter 6 - How do you perform significance tests?
  • Chapter 7 - How do you compare two groups in statistics?
  • Chapter 8 - How do you analyze the association between categorical variables?
  • Chapter 9 - How do linear regression and correlation work?
  • Chapter 10 - What type of multivariate relationships exist?
  • Chapter 11 - What is multiple regression?
  • Chapter 12 - What is ANOVA?
  • Chapter 13 - How does multiple regression with both quantitative and categorical predictors work?
  • Chapter 14 - How do you make a multiple regression model for extreme or strongly correlating data?
  • Chapter 15 - What is logistic regression?

Related summaries and study assistance

Supporting content I (full)
What are statistical methods? – Chapter 1
What kind of samples and variables are possible? – Chapter 2
What are the main measures and graphs of descriptive statistics? - Chapter 3
What role do probability distributions play in statistical inference? – Chapter 4
How can estimates for statistical inference be made? – Chapter 5
How do you perform significance tests? – Chapter 6
How do you compare two groups in statistics? - Chapter 7
How do you analyze the association between categorical variables? – Chapter 8
How do linear regression and correlation work? – Chapter 9
What type of multivariate relationships exist? – Chapter 10
What is multiple regression? – Chapter 11
What is ANOVA? – Chapter 12
How does multiple regression with both quantitative and categorical predictors work? – Chapter 13
How do you make a multiple regression model for extreme or strongly correlating data? – Chapter 14
What is logistic regression? – Chapter 15
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