What are statistical methods? – Chapter 1
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Statistical methods for the social sciences - Agresti - 5th edition, 2018 - Summary (EN)
Summary of Statistical methods for the social sciences by Agresti, 5th edition, 2018. Summary in English.
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What are statistical methods? – Chapter 1
Which kinds 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
What role do probability distributions play in statistical inference? – Chapter 4
- 4.1 What are the basic rules of probability?
- 4.2 What is the difference in probability distributions for discrete and continuous variables?
- 4.3 How does the normal distribution work exactly?
- 4.4 What is the difference between sample distributions and sampling distributions?
- 4.5 How do you create the sampling
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How can you make estimates for statistical inference? – Chapter 5
How do you perform significance tests? – Chapter 6
How do you perform significance tests? – Chapter 6
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How do you compare two groups in statistics? - Chapter 7
How do you compare two groups in statistics? - Chapter 7
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How do you analyze the association between categorical variables? – Chapter 8
How do linear regression and correlation work? – Chapter 9
How do linear regression and correlation work? – Chapter 9
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Which types of multivariate relationships exist? – Chapter 10
What is multiple regression? – Chapter 11
What is multiple regression? – Chapter 11
- 11.1 What does a multiple regression model look like?
- 11.2 How do you interpret the coefficient of determination for multiple regression?
- 11.3 How do you predict the values of multiple regression coefficients?
- 11.4 How does a statistical model represent interaction effects?
- 11.5 How do you compare possible
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What is ANOVA? – Chapter 12
What is ANOVA? – Chapter 12
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How does multiple regression with both quantitative and categorical predictors work? – Chapter 13
How does multiple regression with both quantitative and categorical predictors work? – Chapter 13
- 13.1 What do models with both quantitative and categorical predictors look like?
- 13.2 Which inferential methods are available for regression with quantitative and categorical predictors?
- 13.3 In what kind of case studies is multiple regression analysis required?
- 13.4 How do you use adjusted means?
- 13.5 What
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How do you make a multiple regression model for extreme or strongly correlating data? – Chapter 14
What is logistic regression? – Chapter 15
What is logistic regression? – Chapter 15
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