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　　數(shù)量分析學習技巧
　　Aim: Sample Population Estimation&Forecast
　　Statistics: Descriptive Statistics & Inferential Statistics
　　1, Descriptive Statistics
　　1.1, Central Tendency
　　Mode
　　Median
　　Mean: arithmetic mean, geometric mean, weighted mean
　　1.2, Dispersion & Relative Dispersion
　　Range
　　MAD(mean absolute deviation)
　　Variance--risk
　　1.3, Symmetry--skewness
　　1.4, Kurtosis
　　2, Inferential Statistics
　　2.0, Probability Concept--An excellent mathematic tool for Statistics
　　l Conditional, unconditional, joint probability, Addition Rule, Independent Events
　　l Probability Distribution & Probability Function
　　Binomial Distribution
　　Uniform Distribution
　　Normal Distribution
　　Lognormal Distribution
　　2.1 Estimation With Confidence --The development of descriptive statistics
　　z-statistic, t-statistic, -statistic
　　2.2 Hypothesis Testing
　　--A test of validity of financial assertion with the help of probability distribution
　　2.3 Forecasting
　　2.4 The Estimation & Forecast Between Variables
　　CFA level I focus on the estimation and forecast of linear regression
　　3, Extension in Finance
　　Case A, arithmetic mean, geometric mean
　　dilemma of return
　　100----200-----100 first year:100% second year:-50%
　　compute 1:
　　compute 2:
　　Case B, Normal Distribution vs. Lognormal Distribution
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