# Probability and Statistics

• Computing & Information Technology |
• English

#### 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 , 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.

#### Program

Multimedia and Graphics 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.

#### Textbook

John E. Freund, Modern Elementary Statistics, Pearson Prentice Hall.

#### Course Content

content serial Description
1An introduction to Statistics and statistical analysis on data observation
2Statistical measurements
3Elementary Probability- Probability theorems
4Conditional probability --Independent and dependent events
5Total probability rule – Baye’s Theorem and enumeration methods
6Discrete probability distribution – probability mass function
77th Week Examination
8Continuous probability distribution – probability density function
9Mathematical expectation, mean and variance
10Special discrete distribution: Bernoulli , Binomial, Hypergeometric and Poisson distributions
11Special continuous distribution: Uniform and exponential distribution
12Special continuous distribution: normal distribution
13Discrete joint probability distribution
14Continuous joint probability distribution
15General revision
16Final Examination
1An introduction to Statistics and statistical analysis on data observation
2Statistical measurements
3Elementary Probability- Probability theorems
4Conditional probability --Independent and dependent events
5Total probability rule – Baye’s Theorem and enumeration methods
6Discrete probability distribution – probability mass function
77th Week Examination
8Continuous probability distribution – probability density function
9Mathematical expectation, mean and variance
10Special discrete distribution: Bernoulli , Binomial, Hypergeometric and Poisson distributions
11Special continuous distribution: Uniform and exponential distribution
12Special continuous distribution: normal distribution
13Discrete joint probability distribution
14Continuous joint probability distribution
15General revision
16Final Examination
1An introduction to Statistics and statistical analysis on data observation
2Statistical measurements
3Elementary Probability- Probability theorems
4Conditional probability --Independent and dependent events
5Total probability rule – Baye’s Theorem and enumeration methods
6Discrete probability distribution – probability mass function
77th Week Examination
8Continuous probability distribution – probability density function
9Mathematical expectation, mean and variance
10Special discrete distribution: Bernoulli , Binomial, Hypergeometric and Poisson distributions
11Special continuous distribution: Uniform and exponential distribution
12Special continuous distribution: normal distribution
13Discrete joint probability distribution
14Continuous joint probability distribution
15General revision
16Final Examination
1An introduction to Statistics and statistical analysis on data observation
2Statistical measurements
3Elementary Probability- Probability theorems
4Conditional probability --Independent and dependent events
5Total probability rule – Baye’s Theorem and enumeration methods
6Discrete probability distribution – probability mass function
77th Week Examination
8Continuous probability distribution – probability density function
9Mathematical expectation, mean and variance
10Special discrete distribution: Bernoulli , Binomial, Hypergeometric and Poisson distributions
11Special continuous distribution: Uniform and exponential distribution
12Special continuous distribution: normal distribution
13Discrete joint probability distribution
14Continuous joint probability distribution
15General revision
16Final Examination

#### Markets and Career

• Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
• Electrical power feeding for civil and military marine and aviation utilities.
• Electrical works in construction engineering.