Historical snapshot — AY2022/2023 Semester 1 · View current offering →

Statistics Analysis

AY2022/2023 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		00638 SEM (3) 0830-1020 Tue S4-SR1			00645 SEM (10) 0830-1020 Thu S4-SR1	00646 SEM (11) 0830-1020 Thu S4-SR17	00650 SEM (15) 0830-1020 Fri S3-SR4	00651 SEM (16) 0830-1020 Fri S4-SR8
900
930
1000
1030	00636 SEM (1) 1030-1220 Mon S4-SR5		00641 SEM (6) 1030-1220 Wed S3-SR10	00642 SEM (7) 1030-1220 Wed S3-SR1	00647 SEM (12) 1030-1220 Thu S4-SR17		00652 SEM (17) 1030-1220 Fri S3-SR4
1100
1130
1200
1230
1300
1330
1400
1430		00639 SEM (4) 1430-1620 Tue S3-SR9	00643 SEM (8) 1430-1620 Wed S3-SR10		00648 SEM (13) 1430-1620 Thu S4-SR1		00653 SEM (18) 1430-1620 Fri S3-SR8
1500
1530
1600
1630	00637 SEM (2) 1630-1820 Mon S3-SR10	00640 SEM (5) 1630-1820 Tue S3-SR9	00644 SEM (9) 1630-1820 Wed S3-SR10		00649 SEM (14) 1630-1820 Thu S4-SR1		00655 SEM (19) 1630-1820 Fri S3-SR8
1700
1730
1800