# Course Outline - UniMAP Portal ```UNIVERSITI MALAYSIA PERLIS
Institute of Engineering Mathematics
Course Schedule for Engineering Statistics / EQT 271
Subject Code :
Engineering Statistics / EQT 271
Total Hours :
3 Hours (lecture) x 14 weeks and 1 Hour (tutorial) x 14 weeks
Synopsis :
This course introduces the fundamental concepts in statistics. The definition of statistics and basic concepts of statistics
such as collection of data, data summary and presentation, probability distribution and sampling distribution will be
introduced to the students in topic basic statistics. This course also teaches the students on how to make a statistical
inference which are estimation and hypothesis testing. Apart from that, students will learn on how to run statistical test
and analyze the results obtained. These skills will be taught in topic introductory linear regression (Simple linear
regression, Least squares method, Test for linearity of regression and Pearson product moment correlation coefficient),
analysis of variance (one-way and two-way ANOVA) and nonparametric statistics (Sign test, Mann-Whitney test,
Kruskal Wallis test).
Course
Outcomes :
At the end of this course the student should be able to:
1. understand, apply and explain the basic concepts of statistics.
2. solve problems using suitable statistical inference.
3. construct the model and analyze the result from ANOVA table and simple linear regression
4. apply the basic methodology of nonparametric statistics to solve engineering problems.
WEEK
TOPIC
ACTIVITIY
Lecture (3 hrs)
Tutorial (1 hr)
Quiz 1, 2, 3
1-5
CHAPTER 1 : Basic Statistics [CO1]
1.1 Statistics in Engineering
1.2 Collecting Engineering Data
1.3 Data Summary and Presentation
1.4 Probability Distributions
1.4.1 Discrete Probability Distribution (Binomial &amp; Poisson)
1.4.2 Continuous probability Distribution (Normal, Approx. to Normal of Binomial &amp; Poisson)
1.4.3 Sampling Distributions of the Mean and Proportion
6–7
CHAPTER 2 : Statistical inference [CO2]
2.1 Estimation
2.1.1 Confidence interval estimation for Mean and Proportion
2.1.2 Determining sample Size
2.2 Hypothesis Testing
2.2.1 Tests for One and Two Means
2.2.2 Tests for One and Two Proportions
Lecture (3 hrs)
Tutorial (1 hr)
*Mid Term
Exam*
(20/10/2015)
8
MID SEMESTER BREAK
CHAPTER 3 : Analysis of Variance [CO3]
3.1 One-Way ANOVA (CRD-Completely Randomized Design)
3.2 Two-Way ANOVA (with replication - factorial design, without replication Randomized Completely Block Design (RCBD))
Lecture (3 hrs)
Tutorial (1 hr)
11
CHAPTER 4 : Introductory Linear Regression [CO3]
4.1 Scatter Diagram, Simple Linear Regression Model (Graphical)
4.2 Pearson Product Moment Correlation Coefficient R (Numerical)
Lecture (3 hrs)
Tutorial (1 hr)
Quiz 4
12
4.3 Least Squares Method
4.4 Simple Linear Regression
4.5 Test for Linearity of Regression
Lecture (3 hrs)
Tutorial (1 hr)
CHAPTER 5 : Nonparametric Statistics [CO4]
5.1 Nonparametric Statistics:
5.1.1 Sign Test
5.1.2 Mann-Whitney Test
5.1.3 Kruskal Wallis Test
Lecture (3 hrs)
Tutorial (1 hr)
Quiz 5
9 - 10
13 - 15
16
17 - 19
REVISION WEEK
FINAL EXAMINATION
Evaluation:
(i) Peperiksaan/ Examination: 70% [ Final Examination = 50% + Mid Term Examination = 20% ]
(ii) Penilaian Berterusan/ Continuous Assessment: 30% [Quiz 1, 2, 3, 4 = 5% each + Quiz 5 = 10%]
Textbook:
(i)
(ii)
(iii)
(iv)
(v)
(vi)
Montgomery, D. C., Runger, G. C., &amp; Hubele, N. F. (2012). Engineering Statistics, 5th ed., Wiley.
Allan Blumen, Elementary Statistics, 9th Ed., McGraw Hill
Ledolter, J., &amp; Hogg, R. (2009). Applied Statistics for Engineers and Physical Scientists, Pearson.
David, S.M., George, P.M., &amp; Bruce, C. (2008). Introduction to the Practice of Statistics, 6th ed., Palgrave
Mendenhall, W., &amp; Sincich, T. (2006). Statistics for Engineering and the Sciences, 5th ed., Pearson.
Lecturer Details:
Lecturer/Email : Dr. Safwati Ibrahim / safwati@unimap.edu.my
Room
: P-00-B
Hp
: 010-4000858
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