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.

Textbook

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

Course Content

content serial	Description
1	An introduction to Statistics and statistical analysis on data observation
2	Statistical measurements
3	Elementary Probability- Probability theorems
4	Conditional probability --Independent and dependent events
5	Total probability rule – Baye’s Theorem and enumeration methods
6	Discrete probability distribution – probability mass function
7	7th Week Examination
8	Continuous probability distribution – probability density function
9	Mathematical expectation, mean and variance
10	Special discrete distribution: Bernoulli, Binomial, Hypergeometric and Poisson distributions
11	Special continuous distribution: Uniform and exponential distribution
12	Special continuous distribution: normal distribution
13	Discrete joint probability distribution
14	Continuous joint probability distribution
15	General revision
16	Final Examination
1	An introduction to Statistics and statistical analysis on data observation
2	Statistical measurements
3	Elementary Probability- Probability theorems
4	Conditional probability --Independent and dependent events
5	Total probability rule – Baye’s Theorem and enumeration methods
6	Discrete probability distribution – probability mass function
7	7th Week Examination
8	Continuous probability distribution – probability density function
9	Mathematical expectation, mean and variance
10	Special discrete distribution: Bernoulli, Binomial, Hypergeometric and Poisson distributions
11	Special continuous distribution: Uniform and exponential distribution
12	Special continuous distribution: normal distribution
13	Discrete joint probability distribution
14	Continuous joint probability distribution
15	General revision
16	Final Examination
1	An introduction to Statistics and statistical analysis on data observation
2	Statistical measurements
3	Elementary Probability- Probability theorems
4	Conditional probability --Independent and dependent events
5	Total probability rule – Baye’s Theorem and enumeration methods
6	Discrete probability distribution – probability mass function
7	7th Week Examination
8	Continuous probability distribution – probability density function
9	Mathematical expectation, mean and variance
10	Special discrete distribution: Bernoulli, Binomial, Hypergeometric and Poisson distributions
11	Special continuous distribution: Uniform and exponential distribution
12	Special continuous distribution: normal distribution
13	Discrete joint probability distribution
14	Continuous joint probability distribution
15	General revision
16	Final Examination
1	An introduction to Statistics and statistical analysis on data observation
2	Statistical measurements
3	Elementary Probability- Probability theorems
4	Conditional probability --Independent and dependent events
5	Total probability rule – Baye’s Theorem and enumeration methods
6	Discrete probability distribution – probability mass function
7	7th Week Examination
8	Continuous probability distribution – probability density function
9	Mathematical expectation, mean and variance
10	Special discrete distribution: Bernoulli, Binomial, Hypergeometric and Poisson distributions
11	Special continuous distribution: Uniform and exponential distribution
12	Special continuous distribution: normal distribution
13	Discrete joint probability distribution
14	Continuous joint probability distribution
15	General revision
16	Final 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.

Degree Bachelor
Code: BA203
Credit hrs: 3
Prequisites: BA102

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Probability and Statistics