Description

This course provides an introduction on Statistics. Topics of interest include the statistical analysis on statistical data, statistical measurements. Elementary probability, probability theorems, conditional probability, independent and dependent events, total probability rule and Baye's Theorem. Discrete probability distribution, probability mass function, continuous probability distribution and probability density function. Mathematical expectation: mean and variance. Special discrete distribution: Bernoulli, Binomial. Geometric and Poisson distributions. Special continuous distribution: Uniform, negative exponential and normal distribution.

Program

Information Systems Program

Objectives

• 1. Make statistical analysis and calculating statistical measurements using computer programs like the Minitab program or Excel.
  2. Introduce the basic ideas of probability and conditional probability and its dependence.
  3. Introduce discrete and continues random variable.