HEC — RS&GIS Curricula 2005
44
Discrete Mathematics with Applications -- by Susanna S. Epp, 2004,
Amazon
4: Statistics and Probability
Course Structure: Lectures: 3 /
Labs: 0
Credit Hours: 3
Prerequisites: None
Course Outline: Introduction to Statistics, Descriptive Statistics,
Statistics
in decision making, Graphical representation of Data Stem-and Lead plot,
Box-Cox plots, Histograms and Ogive, measures of
central tendencies,
dispersion for grouped and ungrouped Data, Moments of frequency
distribution;
examples with real life, use of Elementary statistical packages
for explanatory Data analysis. Counting techniques,
definition of probability
with classical and relative frequency and subjective approaches, sample
space, events, laws of probability. Conditional probability
and Bayesian
theorem with application to Random variable (Discrete and continuous)
Binomial, Poisson, Geometric, Negative Binomial Distributions;
Exponential Gamma and Normal distributions.
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