review

review - Review Statistics Concepts 1. 2. 3. 4. 5. 6. 7. 8....

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1 Review Statistics Concepts 1. Variable 2. Categorical variable 3. Nominal variable 4. Ordinal variable 5. Quantitative variable 6. Interval variable 7. Ratio variable 8. Why we need to both graphically & numerically describe a variable’s distribution, & the logic involved in deciding by means of the graphic evidence if the numerical statistics will be valid representations of the data 9. How we graphically describe a variable’s distribution 10. How we statistically describe a variable’s distribution 11. How we deal with outliers 12. Properties & weaknesses of mean & standard deviation; principal alternative statistics; & why mean & standard deviation are used so much despite their problem 13. Linear transformation 14. Density curve 15. Normal distribution & why it’s important 16. Are all symmetrical distributions normal? 17. Standard normal distribution & how it’s used 18. How to standardize a quantitative variable, & how to re-calculate an original raw score from a standard score 19. Association 20. Direct causation, common response & confounding 21. Bivariate scatter plot & how to describe it 22. Lurking variables 23. How to describe the distribution of a quantitative variable by a categorical variable 24. Correlation, its properties & its limitations
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review - Review Statistics Concepts 1. 2. 3. 4. 5. 6. 7. 8....

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