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Unformatted text preview: Review for Exam I Chapters 1 4 1 Descriptive Statistics Categorical variables and quantitative variables Graphical methods bar graph and pie chart histogram [shape characteristics: symmetric?, skewed?, multimodal?] stem-and-leaf display boxplot [5-number summary] Numerical measures Measures of location * Typical values (center): sample mean, sample median [their robustness against outliers] * percentiles, quartiles Measures of variation (spread) * sample variance, sample standard deviation, sample range, interquartile range 2 Probability Random process, sample space, outcome, event Basic set theory (union, intersection, complement, mutually exclusive) Interpretation of probability Axioms and properties of probability Conditional probability Independence Law of total probability Bayes rule series system and parallel system 1 3 Discrete Random Variables Probability mass function (pmf) of a discrete rv and requirements of a pmf...
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This note was uploaded on 10/14/2008 for the course STAT 211 taught by Professor Parzen during the Spring '07 term at Texas A&M.
- Spring '07