KING FAHD UNIVERSITY OF PETROLEUM
& MINERALS
DEPARTMENT OF MATHEMATICAL SCIENCES
STAT319: PROBABILITY & STATISTICS FOR
ENGINEERS & SCIENTISTS
Course
Outline, Semester 033
Instructor: Marwan
AlMomani Office:
4/1046
Phone: 1734
Email:
almomani@kfupm.edu.sa Office
Hours: SMW:
Text and Package: (1) Modern
Engineering Statistics by Lawrence L. Lapin, Duxbury, 1997 (2) The Student
Edition of STATISTICA, Lab
manual is provided.
Course Objectives: Introducing
basic concepts of probability and statistics to engineering students. Emphasis
will be given on the understanding of the nature of randomness of real world
phenomena, the formulation of statistical methods by using intuitive arguments
and thereby making meaningful decisions.
Assessment
Assessment for this course will be based on home work, lab,
attendance, quizzes, two major exams and a comprehensive final exam, as in the
following:
Activity

Weight 
Quizzes,
class works, home works and other 
15% 
Exam 1
(Chapters 2 and 6) 
10% 
Exam 2
(Chapters 7, 8 and 9) 
20% 
Lab
Reports and Lab Exam 
15% 
Final
Exam (Comprehensive) 
40% 
Note
Students will be required to carry a calculator with statistical
functions.
Home work and Tutorial Problems
Students are encouraged to do the problems at home, and to hint
and guide to solve problems.
Chapter
Two:23,
25, 214, 216, 218, 225, 230, 239, 245
Chapter
Six:
65, 615, 619, 620, 623
Chapter
Seven: 77, 711, 713, 718, 729, 730, 735, 737
Chapter
Eight: 81, 87, 812, 816, 827, 832, 841
Chapter
Nine: 95, 911, 917, 925, 933, 935
Chapter
Ten:
105, 109(a, b), 1010(c, d), 1016, 1027, 1033, 1036, 1040
Chapter
Eleven:114, 117, 1114, 1120, 1129, 1132, 1135, 1144, 1146
Chapter
Four: 42, 410
Chapter
Twelve: 128, 1212, 1214
Syllabus

Date 
Topic 
Section 
1 
26/6 30/6 
Descriptive Statistics:
Frequency distribution, histogram, stem and leaf, mean, median and mode,
percentiles, quartiles, range, variance ,standard deviation and empirical
rule Probability: Fundamental concepts, probability of simple and
compound events 
2.12.4 & 6.16.2 
2 
3/7 
7/7 
Conditional probability, multiplication
law, probability trees, and sampling. Random variables: Discrete and
continuous random variables, expected value and variance 
6.36.4 & 7.17.2 
3 
10/7 14/7 
The binomial and normal distributions.
Other probability distributions: Poisson, exponential, gamma, Weibull, lognormal, geometric and hypergeometric distributions 
7.37.4 & 8.18.5 
4 
17/7– 21/7 
Sampling distribution
of the mean, student t distribution, sampling distribution of the proportion
and ChiSquare. Estimation: Estimators and point estimates, interval
estimate of the mean and determining the sample size for estimating the mean 
9.19.6 & 10.110.2 
5 
24/7 28/7 
Interval estimates of the proportion for
case of large sample only, determining the sample size for estimating the
proportion and intervals estimate of the variance. Intervals estimate for the
difference between two means for the cases of independent and matchedpairs
samples and interval estimate for the difference between two proportions. 
10.310.5 
6 
31/7  4/8 
Tests of hypotheses: basic
concepts of hypothesis testing and method for testing the mean. Tests of
hypotheses for the proportion. Tests of hypotheses for comparing two means
for the cases of independent and matchedpairs samples and tests of
hypotheses for comparing two proportions. 
11.111.4 
7 
7/8 – 11/8 
Simple linear regression,
correlation and multiple linear regressions. Inferences in the linear
regression. 
4.14.3 & 12.112.3 
8 
14/8 16/8 
Review problems from chapters: 10, 11 and
12. 
