Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
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