Statistics Analysis
AY2024/2025 Semester 1
This course introduces the concepts and methods of statistical inferences: the process of inferring unknowns under uncertainty. Students of this course will also learn programming skills in the R environment for basic statistical analyses. This course consists of three main sections. Section 1 covers elements of probability models. Section 2 covers the basic theories in statistical inferences. Section 3 introduces the basic of two powerful and widely used analytic tools: regression and simulation analysis. Each weekly topic will be supplemented with relevant computer applications in the R environment.
| AUs | 3.0 AUs |
| Categories | CoreBDE |
| Not Available To Programme | ASEC, BCE 2, BCE 3, BCE 4, BCG 2, BCG 3, BCG 4, BEEC, CBEC, CEEC, CSEC, CVEC, ECMA, ECON, ECPP, ECPS, EEEC, ENEC, IEEC, MEEC, MTEC |
| Not Available To All Programme With | 2nd Maj/Spec(ECON) |
| Mutually Exclusive With | CE1008, HE1004, MH1820 |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | ||
|---|---|---|---|---|---|---|
| 830 | 00481 SEM (3) 0830-1020 Tue S4-SR1 | 00489 SEM (11) 0830-1020 Thu S4-SR17 | 00494 SEM (16) 0830-1020 Fri S4-SR8 | |||
| 900 | ||||||
| 930 | ||||||
| 1000 | ||||||
| 1030 | 00479 SEM (1) 1030-1220 Mon S4-SR5 | 00495 SEM (17) 1030-1220 Fri S3-SR4 | ||||
| 1100 | ||||||
| 1130 | ||||||
| 1200 | ||||||
| 1230 | ||||||
| 1300 | ||||||
| 1330 | ||||||
| 1400 | ||||||
| 1430 | ||||||
| 1500 | ||||||
| 1530 | ||||||
| 1600 | ||||||
| 1630 | 00480 SEM (2) 1630-1820 Mon S3-SR10 | 00493 SEM (15) 1630-1820 Tue ABS-SR9 | 00485 SEM (7) 1630-1820 Wed S3-SR10 | 00484 SEM (6) 1630-1820 Thu S3-SR1 | 00492 SEM (14) 1630-1820 Thu S4-SR1 | |
| 1700 | ||||||
| 1730 | ||||||
| 1800 | ||||||