STAT 301 (Spring 2016)

Probability and Statistics for Engineers
مقرر الاحتمالات والاحصاء للمهندسين

Course Objectives

By completing this course, Students should be able to:

• Understand presentation and interpretation of the data 
• Understand statistical central tendency measures 
• Understand statistical dispersion measures 
• Understand and apply the simple linear regression technique 
• Understand the basic concepts of probability 
• Understand the concepts of random variables and the probability function 
• Be familiar with some probability distributions 
• Determine the interval estimation of the population parameters 
• Understand testing statistical hypotheses for the population parameters 

Course Description
Presentation and interpretation of data, elementary probability concepts, random variables and probability distribution, binomial, Poisson, exponential, normal random variables. Simple linear regressions. Application to engineering problems. The laboratory session will be devoted to problem solving using statistical software.

Course Outline
Lectures:

1. Presentation and interpretation of the data, measures of central tendency and dispersion – (6 hrs( 
2. Simple linear regression with applications – (5 hrs( 
3. The elementary probability concepts – (3 hr) 
4. The random variables and the probability distribution functions and their characteristics (Expectations, Variation, moments) – (9 hrs( 
5. Some probability distribution (Binomial, Poisson, Exponential) – (9 hr) 
6. Interval estimation of the population parameters – (9 hrs( 
7. Testing statistical hypotheses for the population mean and variance – (9 hrs( 

Laboratory
Engineering statistics applications using computer commercial packages.
Download Octave from this link [Octave] then install it on your machine

References:
[1] Ronald Walpole, Raymond Myers, Sharon Myers, and Keying Ye, Probability and Statistics for Engineers and Scientists, 8th ed., Prentice Hall, 2006 (or later). [View PDF]
[2] Martinez "Computational Statistics Handbook with MATLAB", Chapman & Hall/CRC 2002 [View PDF]
[3] كتاب احصاء الاعمال ، تعليم عن بعد، جامعة طيبة، تحميل الكتاب

Evaluation
The total course marks are 100 marks. divided in the following manner
10% Homework, take an average of the total number of homework
10% Attendance, activities and labs
10% Quizzes, two quizzes
30% Midterm exam
40% final exam.

Slides

1. Presentation and interpretation of the data, measures of central tendency and dispersion [PPT] [Handwritten Notes]
2. Counting sample space events [PPT] [Handwritten Notes]
3. The elementary probability concepts[PPT] [Handwritten Notes]
4. The random variables and the probability distribution functions[PPT] [Handwritten Notes]
5. Some probability distribution[PPT][Handwritten Notes]
6. Interval estimation of the population parameters[PPT] [Handwritten Notes]
7. Testing statistical hypotheses for the population mean and variance[PPT]
8. Simple linear regression with applications[PPT]