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UNIVERSITI MALAYSIA PERLIS
Institute of Engineering Mathematics
Course Schedule for Engineering Statistics / EQT 271
(Academic Session 1, 2016/2017)
Subject Code:
Total Hours:
Synopsis:
Engineering Statistics / EQT 271
3 Hours (lecture) x 14 weeks
The goal of this course is to introduce students with the appropriate statistical methods for data collection,
analysing and interpreting data. Moreover, in this course, the statistical concepts and methods are discussed
within the context of statistics is a study about variation. The basic concepts of randomness, quantifying
uncertainty through probability models and making inference about population are the essence of this
course. The course begins with describing and exploring data. Various graphical tools and numerical
measures used to describe data will be introduced. Some basic probability concepts, discrete and continuous
probability distribution are among topics for modelling uncertainty. Making inference through estimation and
hypothesis test based on parametric and non-parametric methods are being explored in the second part of
this course. The last chapter discuss the topic of simple linear regression model.
Course
Outcomes:
At the end of this course the student should be able to:
1. understand, apply and explain the basic concepts of statistics. [CO1]
2. solve problems using suitable statistical inference. [CO2]
3. construct the model and analyze the result from ANOVA table and simple linear regression [CO3]
4. apply the basic methodology of nonparametric statistics to solve engineering problems. [CO4]
WEEK
1–2
2–3
TOPIC
ACTIVITIY
CHAPTER 1 : BASIC TO ENGINEERING STATISTICS
1.1
Statistics in Engineering
1.2
Collecting Engineering Data
1.3
Data Summary and Presentation
CHAPTER 2 : PROBABILITY DISTRIBUTION
2.1
Introduction to Probability
2.2
Basic Concepts of Probability
2.3
Probability Distributions
2.4
Discrete Probability Distributions
2.5
Continuous Probability Distributions
Quiz 1
(week 3)
MID SEMESTER BREAK
4–8
CHAPTER 3 : STATISTICAL INFERENCE
3.1
Sampling Distribution
3.2
Inference for Single Population
3.3
Inference for Two Populations
3.4
Nonparametric Statistics
Quiz 2
(week 5)
*Mid Term
Exam*
(13/10/2016)
CHAPTER 4 : ANALYSIS OF VARIANCE
4.1
Introduction
4.2
Basic Concepts in Analysis of Variance (ANOVA)
4.3
Assumptions of ANOVA
4.4
One-way ANOVA / Completely Randomized Design (CRD)
4.5
ANOVA F-test statistic
4.6
Randomized Completely Block Design (RCBD)
4.7
Two-way ANOVA / Two Factors Experimental Design
4.8
Kruskal-Wallis Test: Nonparametric Alternative to ANOVA
Quiz 3
(week 9)
Quiz 4
(week 12)
12-13
CHAPTER 5 : SIMPLE LINEAR REGRESSION
5.1
Introduction
5.2
Scatter Plot and Sample Correlation Coefficient
5.3
Regression Line
5.4
Coefficient of Determination, Standard Error of Estimate and Prediction
14
15
16 -18
REVISION
STUDY WEEK
FINAL EXAMINATION
9-11
Evaluation:
(i) Peperiksaan/ Examination: 70% [ Final Examination = 50% + Mid Term Examination = 20% ]
(ii) Penilaian Berterusan/ Continuous Assessment: 30% [Quiz 1, 2 = 5% each + Quiz 3 & 4 = 10% each]
Textbook:
(i)
(ii)
(iii)
(iv)
(v)
Montgomery, D. C., Runger, G. C., & Hubele, N. F. (2012). Engineering Statistics, 5 th ed., Wiley.
Allan Blumen, Elementary Statistics, 9th Ed., McGraw Hill
Ledolter, J., & Hogg, R. (2009). Applied Statistics for Engineers and Physical Scientists, Pearson.
David, S.M., George, P.M., & Bruce, C. (2008). Introduction to the Practice of Statistics, 6 th ed., Palgrave
Mendenhall, W., & Sincich, T. (2006). Statistics for Engineering and the Sciences, 5th ed., Pearson.
Lecturer Details:
Lecturer/Email : Dr. Nor Azrita Mohd Amin / [email protected]
Room : L-01-33 Institute of Engineering Mathematics (Engineering Center)
Hp : 019-7768386