71142 مبادئ الاحصاء

Course Description

This course presents methods for organizing and summarizing information clearly and effectively using graphical displays and computational methods: Organizing data. Descriptive measures, probability concepts. Discrete Random variables, Normal distribution, and confidence Interval for one population mean. This course intended to give the student a firm understanding of and skills in descriptive statistics graphically and computationally, students are expected to have gained the knowledge and the ability to construct and identify the shapes distributions of the given data. Analyzing it  and conclusions, besides knowing counting techniques, probability of referent events , finding the probability of binomial, Poisson, Hyper- geometric, and normal distributions, At the end of the course students are expected to know how to estimate to one population mean.

Learning Objective

  • • Learn the language and core concepts of probability theory.
  • • Understand basic principles of statistical inference.
  • • Build a starter statistical toolbox with appreciation for both the utility and limitations of these techniques. • Use software and simulation to do statistics. • Become an informed consumer of statistical information. • Prepare for further coursework or on-the-job study.

Credits

    3

Books for this Course

  • Introduction to Probability and Statistics Using R, by G. Jay Kerns , 2010
  • probability and statistics for real life,

Times Offered

  • September 2015
  • January 2016

Course Prerequisite

TOP