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Introduction - Lecture notes 1 | Trường Đại học Quốc tế, Đại học Quốc gia Thành phố Hồ Chí Minh
INTRODUCTION TO THE COURSE - THEORY. INTRODUCTION TO THE COURSE - PRACTICE. INTRODUCTION TO THE COURSE Learning outcomes. Textbook: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran (2017), Statistics for Business & Economics, 13th Edition, Cengage Learning, USA. Tài liệu giúp bạn tham khảo, ôn tập và đạt kết quả cao. Mời bạn đọc đón xem!
Applied statistics (ENEE1006IU) 47 tài liệu
Trường Đại học Quốc tế, Đại học Quốc gia Thành phố Hồ Chí Minh 696 tài liệu
Introduction - Lecture notes 1 | Trường Đại học Quốc tế, Đại học Quốc gia Thành phố Hồ Chí Minh
INTRODUCTION TO THE COURSE - THEORY. INTRODUCTION TO THE COURSE - PRACTICE. INTRODUCTION TO THE COURSE Learning outcomes. Textbook: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran (2017), Statistics for Business & Economics, 13th Edition, Cengage Learning, USA. Tài liệu giúp bạn tham khảo, ôn tập và đạt kết quả cao. Mời bạn đọc đón xem!
Môn: Applied statistics (ENEE1006IU) 47 tài liệu
Trường: Trường Đại học Quốc tế, Đại học Quốc gia Thành phố Hồ Chí Minh 696 tài liệu
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lOMoAR cPSD| 45903860 APPLIED STATISTICS COURSE CODE: ENEE1006IU
(3 credits: 2 is for lecture, 1 is for lab-work) lOMoAR cPSD| 45903860 Week Lecture Content Detail 1
Lecture 1 Introduction to the course 1.1. Data classification Chapter 1: Data and 1.2. Data sources Statistics 2 Lecture 2 Chapter 1: Data and 1.3. Statistical inference Statistics
1.4. Ethical guidelines for statistical practice 3
Lecture 3 Chapter 2: Plotting and 2.1. Plotting data 2.2. Smoothing data Smoothing data 4
Lecture 4 Chapter 3: Descriptive
3.1. Measures of location (mean, mode, median, etc.) statistics
3.2. Measures of variability (range, variance, deviation, etc.) 5 Lecture 5
3.3. Measures of distribution shape, relative location, and detecting outliers
3.4. Five-number summaries and box plots
3.5. Measures of association between two variables 6
Lecture 6 Chapter 4: Probability and
4.1. Introduction to probability Distribution
4.2. Discrete probability distributions 7 Lecture 7
4.3. Continuous probability distributions 8 Lecture 8
4.4. Sampling and sampling distributions lOMoAR cPSD| 45903860 9,10 Midterm exam. (35%) 2
INTRODUCTION TO THE COURSE - THEORY lOMoAR cPSD| 45903860 Week Lecture Content Detail 11 Lecture 9 Chapter 5: Hypothesis
5.1. Hypothesis testing and decision making tests
5.2. Determining the sample size for a hypothesis test about a population mean 12 Lecture Chapter 6: t-Test
6.1. Paired t-Test for assessing the average of differences 6.2. 10
Independent t-Test for assessing the difference of two averages 13 Lecture Chapter 7: Analysis of
7.1. Inferences about a population variance 11 Variance (ANOVA)
7.2. Inferences about two population variances 14 Lecture Chapter 7: Analysis of
7.3. Assumptions for analysis of variance 12 Variance (ANOVA) 7.4. A conceptual overview 15 Lecture Chapter 7: Analysis of 7.5. ANOVA table 13 Variance (ANOVA) 7.6. ANOVA procedure 16 Lecture
Chapter 8: Time series 8.1. Time series patterns analysis and 14
forecasting 8.2. Forecast accuracy 17 Lecture
Chapter 8: Time series 8.3. Trend projection analysis and 15
forecasting 8.4. Time series decomposition lOMoAR cPSD| 45903860 18, 19 Final exam. (35%) 3 lOMoAR cPSD| 45903860
INTRODUCTION TO THE COURSE - PRACTICE Week Lecture Content 12 Lab-work 1 Lab-work 1:
- Data with R (install R, input data into R) 13 Lab-work 2 Lab-work 2:
- Graphics with R (draw graphic by R) 14 Lab-work 3 Lab-work 3: - Statistical analyses with R 15 Lab-work 4 Lab-work 4:
- Programming with R in practice (part 1) 16 Lab-work 5 Lab-work 5:
- Programming with R in practice (part 2) 17 Lab-work 6 Lab-work 6: Assignment (30%) lOMoAR cPSD| 45903860 INTRODUCTION TO THE COURSE Textbook:
[1] David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran (2017), Statistics
for Business & Economics, 13th Edition, Cengage Learning, USA. Reference:
[2] Paul Mac Berthouex. Linfield C. Brown (2002), Statistics for Environmental Engineers, 2nd Edition, Lewis Publishers.
[3] Nathabandu T. Kottegoda and Renzo Rosso (2008), Applied Statistics for Civil and Environmental Engineers, 2nd
Edition, Blackwell publishing.
[4] C. Reimann, P. Filzmoser, R. G. Garrett, R. Dutter (2008), Statistical Data Analysis Explained: Applied Environmental
Statistics with R, John Wiley & Sons.
[5] Yosef Cohen and Jeremiah Y. Cohen (2008), Statistics and data with R - An applied approach through examples, John Wiley & Sons.
[6] Nguyen Van Tuan, Data and Graphic Analysis by R (in Vietnamese: Phân tích số liệu và biểu ồ bằng R) 5 lOMoAR cPSD| 45903860 INTRODUCTION TO THE COURSE Evaluation:
•Class participation and lab-work assignment: 30% • Mid-term Exam: 35% • Final Exam: 35%
Students must attend at least 80% of the classes.
More than 3 times absence of theory
WILL BE BANNED FOR THE FINAL EXAM
More than 2 times absence of lab-work
WILL BE BANNED FOR LAB-WORK ASSIGNMENT lOMoAR cPSD| 45903860
Read textbook for the next class!!!
INTRODUCTION TO THE COURSE Learning outcomes:
Successful completion of this course will be able to:
• Memorize the principles of data and statistics, plotting and smoothing data, descriptive statistics
• Outline the discrete probability distributions, continuous probability distributions, sampling and sampling distributions
• Describe hypothesis testing and decision making, paired t-Test and independent tTest
• Demonstrate the Analysis of Variance (ANOVA) as well as time series analysis and forecasting
• Describe the data with R and graphics with R
• Practice using R software in statistical analyses and programming 7