Stat216

Text Book:
Probability and Statistical Inference, 2015, Ninth Edition by Robert V. Hogg, Elliot A. Tanis, and Dale L. Zimmerman, Pearson Education.

Course Scope Contents:

Set functions including set notation and basic elements of probability.
Mutually exclusive events.
Addition and multiplication rules.
Independence of events.
Combinatorial probability.
Conditional probability.
Bayes Theorem / Law of total probability.
Random variables and distributions.
Mode, median, percentiles, and moments.
Variance and measures of dispersion (including coefficient of variation).
Moment generating functions.
Transformations.
Joint probability functions and joint probability density functions.
Joint cumulative distribution functions.
Conditional and marginal probability distributions.
Moments for joint, conditional, and marginal probability distributions.
Joint moment generating functions.
Variance and measures of dispersion for conditional and marginal probability distributions.
Covariance and correlation coefficients.
Transformations and order statistics.
Probabilities and moments for linear combinations of independent random variables.
Central Limit Theorem.