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Chap 1 2 3 Important - Population vs sample (parameter vs statistic) - 2 branches of statistics - qualitative vs quantitative - observational study vs experiment - sampling approaches Distributions: frequency, relative frequency, cumulative Graphical displays: histograms, stem-and-leaf, dotplots (when to use which) - measures of center: mean, median mode (how to calculate [formulas!], when to use) Distribution shapes: uniform, skewed, symmetric … - measures of variation: range, variance (population and sample), std dev (pop and sample); how to calculate (formulas!)) - Empirical Rule - quartiles (how to calculate and interpret) - percentiles (how to interpret) - 5 number summary and box-and-whisker - IQR (how to calculate and interpret) - z-score/standard score (how to calculate and interpret) !! - Probability – Fundamental Counting Principle, trees - Classical, Empirical, Subjective probability - Probability distribution: what is it, properties, mean - Complements - Independent vs dependent events - Mutually exclusive events - Addition Rule for independent events - Venn diagram - Combination & Permutation (when to use, how to calculate) Not Important … - Levels of measurement (nominal, ordinal …) - Use of random # table - replication, placebo, confounding variable - identifying bias sampling/survey - class limits, class boundaries - frequency polygon, ogive, pie chart, time series - weighted mean - Chebychev’s Theorem - std dev of grouped data - how to determine outliers - Law of large numbers - Conditional probability formula - Distinguishable Permutations