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Homework answers / question archive / Embry-Riddle Aeronautical University - RSCH 202 1)Which of the following would not be appropriate for giving an overview of ordinal data? 2

Embry-Riddle Aeronautical University - RSCH 202 1)Which of the following would not be appropriate for giving an overview of ordinal data? 2

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Embry-Riddle Aeronautical University - RSCH 202

1)Which of the following would not be appropriate for giving an overview of ordinal data?

2. In what way do the concepts of causality and correlation relate to each other?

 

3. Which of the following alternatives is possibly the dependent variable in a study in which regression analysis is used to analyze the data?

 

4. In what way could you best give an overview of ordinal data?

 

5. Which test could best be used to test the hypothesis that students for a certain course attended tutorials from lecturer X are happier (measured on interval-level) than students who attended tutorials from lecturer Y and Z?

 

6. Multiple regression analysis measures the effect of an independent variable on the dependent variable, while the other independent variables are held constant.

7. The mode and the median are always the same value.

 

 

8. The closer the Cronbach's alpha is to 1, the higher the reliability of a scale.

 

9. Chi-square analysis is used when the independent variable is nominal or ordinal.

 

10. ANOVA is used to determine whether the variance between groups significantly differ from each other.

 

11. Chi-square analysis is used when the independent variable is used when the dependent variable is nominal or ordinal.

 

12. The statistical null hypothesis is rejected when the p-value is small enough.

 

 

13. Cronbach's alpha indicates to what extent scale items are correlated to each other?

 

14. An overview of a variable on nominal level can be given by a pie chart.

 

15. When you want to test if the average score of an exam significantly differs from 7.3 (the average score of last year), an independent samples t-test is most appropriate.

 

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