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UNIVERSITY OF THE WEST INDIES, MONA CAMPUS
DEPARTMENT OF ECONOMICS
STATISTICAL METHODS 1
ECON 2008
COURSE SYLLABUS BY MIKO...
UWI Econ 2008 Comprehensive course syllabus
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UWI Econ 2008 Comprehensive course syllabus

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UWI Econ 2008 Comprehensive course syllabus

  1. 1. UNIVERSITY OF THE WEST INDIES, MONA CAMPUS DEPARTMENT OF ECONOMICS STATISTICAL METHODS 1 ECON 2008 COURSE SYLLABUS BY MIKOL A. MORTLEY 1. Introductory Statistics Numerical  Mean  Mode  Median,  Variance,  Standard deviation,  Quartiles  Correlation  Correlation Coefficient  Geometric mean  Coefficient of variation  Chebychev’s theorem       Graphical Description of data Cumulative Frequency distribution table Histograms and Ogives Bar graphs and Pie Charts Stem and Leaf Display Box and whisker plot Scatter plot 2. Random Variables and Probability Distributions Discrete and continuous random variables  Probability :  Intersection  Union  Mutual exclusivity  Complements  Conditional probability  Statistical independence  Probability distribution  Cumulative probability Function  Expected values  Variance and standard deviation  Binomial distribution ( expected value, variance, standard deviation , approximation to the Normal)  Poisson Distribution (expected value, variance, standard deviation , approximation to the Normal)  Cumulative Distribution Function  Continuous Probability density function  Continuous Probability distribution parameters  Probability of an area  Exponential Distribution 4. 3. Interval Estimation for: Biased and Unbiasedness Mean Proportion Standard Deviation Difference between Two Means Difference Between Two Proportions 5. Hypothesis Testing for: Mean Proportion Standard Deviation, Difference between Two Means Difference between Two Proportions Chi Square Goodness of Fit Test Sampling and Sampling distribution for: Mean  Expected value, Standard error of the mean, Proportion  Expected value of proportion (p^), standard deviation of proportion Standard Deviation  Chi-square distribution Difference between Two Means  Expected value, standard error and Z-statistic Difference between Two Proportions  Expected value, standard deviation and z-statistic

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