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UWI Econ 2008 Comprehensive course syllabus
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