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Statistical Concepts and Market Returns (Statistical%2BConcepts%2Band%2BMarket%2BReturns.ppt)

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Differentiate between descriptive statistics and inferential statistics, and between a population and a sample, and explain the differences among the types of measurement scales.Explain the concepts of a parameter, a sample statistic, a frequency distribution, and relative versus cumulative relative frequency distributions.Analyze and interpret a histogram or a frequency polygon by describing the properties of a dataset.Define, calculate, and interpret measures of central tendency, including the population mean, sample mean, arithmetic mean, weighted average or mean (including a portfolio return viewed as a weighted mean), geometric mean, harmonic mean, median, and mode, quartiles, quintiles, deciles, and percentiles.Define, calculate, and interpret 1) a range and mean absolute deviation, and 2) a sample and a population variance and standard deviation.Contrast variance with semivariance and target semivariance.Calculate and interpret the proportion of observations falling within a specified number of standard deviations of the mean, using Chebyshev’s inequality.Define, calculate, and interpret the coefficient of variation and the Shape ratio.Define and interpret skew, explain the meaning of a positively or negatively skewed return distribution, and describe the relative locations of the mean, median, and mode for a nonsymmetrical distribution.Define and interpret kurtosis, and measures of population and sample skew and kurtosis.

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Juan Francisco Rumbea Pavisic

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Creative Commons -