advertisement

UNIVERSITI MALAYSIA PERLIS Institute of Engineering Mathematics Course Schedule for Engineering Statistics / EQT 271 (Academic Session I, 2015/2016) 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 & Poisson) 1.4.2 Continuous probability Distribution (Normal, Approx. to Normal of Binomial & 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., & Hubele, N. F. (2012). Engineering Statistics, 5th 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, 6th ed., Palgrave Mendenhall, W., & 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