Final Exam Study - Chapter 1 o Definition of statistics Chapter 2 o Raw data o Population versus sample o Parameter versus statistic o Variable

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Chapter 1 o Definition of statistics Chapter 2 o Raw data o Population versus sample o Parameter versus statistic o Variable types and roles o How to summarize categorical variables o How to summarize quantitative variables o Standardization o Empirical Rule Chapter 3 o Inference o Population vs sample o Simple random sample o Bias types o Margin of error o Sampling methods o Disasters in sampling o Asking survey questions without bias Chapter 4 o Observational studies vs randomized experiments o How to and when to determine cause-and-effect o Confounding variables
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o Designing experiments o Designing observational studies Chapter 5 o Scatterplot o Regression Analysis o Correlation and r-squared o Difficulties and disasters o Interpretations of an observed association o Causation Chapter 6 o Contingency tables and the values they contain o Simpson’s Paradox o Chi-square hypothesis test Chapter 7 o Random Circumstances o Probability o Simulations o Sensitivity and Specificity
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This note was uploaded on 02/03/2010 for the course STAT 200 at Pennsylvania State University, University Park.

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Final Exam Study - Chapter 1 o Definition of statistics Chapter 2 o Raw data o Population versus sample o Parameter versus statistic o Variable

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