Course
| code | BA203 |
| credit_hours | 3 |
| title | Probability and Statistics |
| arbic title | - |
| prequisites | BA102 |
| credit hours | 3 |
| Description/Outcomes | 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 , continuous probability distribution and probability density . Mathematical expectation: mean and variance. Special discrete distribution: Bernoulli, Binomial. Geometric and Poisson distributions. Special continuous distribution: Uniform, negative exponential and normal distribution. |
| arabic Description/Outcomes | |
| 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. |
| arabic objectives | |
| ref. books | 1. W. Feller, An Introduction to Probability Theory and its Applications, John Wiley.
2. S. M. Ross, Introduction to Probability Models, Academic press. |
| arabic ref. books | |
| textbook | John E. Freund, Modern Elementary Statistics, Pearson Prentice Hall. |
| arabic textbook | |
| objective set | |
| content set | |
| course file |
530_BA203_BA203.pdf |