Course Syllabus
Instructor Name
Course Title:
Prerequisite:
Academic Year:
Lecture Times:
Office Hours
Dr. Mukhtar Salah
-
Statistics and Probability
Co-requisite:
2014/2015
Semester:
Su.:10-11, Tu.:10-12,
Su. 11-12, Mo.10-12,Tu. 9-10
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STAT 201
Cr.Hrs:
Course code:
We.:11-12
Exercise Time:
Fall semester
Office number
3
003-2-41-5
Course Description
Descriptive statistics: statistical classification of data, measures of central tendency (mean, median, mode for raw and grouped
data), measures of dispersion (range, mean deviation, quartile deviation, standard deviation and variance). Simple and multiple
linear regressions, significance tests, estimation, sampling. Statistical software (Excel, StatGraph, MiniTab) and their applications.
Probability: introduction, properties, Conditional probability, Bayes law, applications. Random variables: discrete and continuous
random, the expected value and variance, sums of discrete random variables. Selected distributions: Uniform, Poisson,
Exponential, and Normal
1
2
3
4
5
Course Goals and Objectives
Use statistical methodology and tools in the engineering problem-solving process
Understand the basic concepts of probability, random variables, probability distribution
Understand some basic concepts of confidence intervals and its application in engineering problem
Construct and use the testing hypothesis
Use the simple regression and it applications in solving engineering problems
1
2
Course Outcomes
Apply knowledge of mathematics, science, and engineering.
An ability to identify, formulate, and solve engineering problems.
9
Course Contents
Short Description
Introduction to engineering experiments, statistics and data classifications
Graphical presentations of observations
Measures of Central Tendency , Dispersion and Positions for ungrouped data
Probability: sample space, event, axioms of probability, conditional probability and independence
Random variable: discrete and continuous
Common Distributions: Bernoulli, Binomial, Poisson, Normal and Exponential distribution
Confidence Intervals CI: Large and small sample CI for population mean, CI for proportion, CI for the
difference between two means
Testing Hypothesis: Large and small sample test for population mean, test for a population proportion, large
and small sample test for difference between two means
Correlation and simple linear regression
1
2
3
4
First Midterm Exam
Second Midterm Exam
Quiz and homework assignments
Final Exam
1
2
3
4
5
6
7
8
Week
1/3
2/3
2,3
4,5
6
7,8
9,10
11,12,13
14,15
Mode of Assessment
Textbook:
References:
Books
William Navida , Statistics for Engineers and Scientists, 3rd edition. McGraw-Hill, 2011.
ISBN 978-0-07-337633-2
Prem S. Mann and Christopher J. Lacke, Introductory Statistics, 7th edition, Willey, 2010.
20 points
20 points
20 points
40 points