Historical snapshot — AY2022/2023 Semester 2 · View current offering →

Statistics Analysis

AY2022/2023 Semester 2

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
930
1000
1030
1100
1130
1200
1230
1300
1330
1400
1430
1500
1530
1600
1630
1700
1730
1800

	Mon		Tue		Wed		Thu	Fri
830			00652 SEM (5) 0830-1020 Tue S3-SR8				00660 SEM (13) 0830-1020 Thu S3-SR10	00664 SEM (17) 0830-1020 Fri S3-SR10
900
930
1000
1030	00648 SEM (1) 1030-1220 Mon LHS-TR+52		00653 SEM (6) 1030-1220 Tue S3-SR8	00654 SEM (7) 1030-1220 Tue S4-SR1			00661 SEM (14) 1030-1220 Thu S3-SR10	00665 SEM (18) 1030-1220 Fri S3-SR10
1100
1130
1200
1230
1300
1330
1400
1430	00649 SEM (2) 1430-1620 Mon LHS-TR+55	00650 SEM (3) 1430-1620 Mon S4-SR18	00655 SEM (8) 1430-1620 Tue S4-SR21		00657 SEM (10) 1430-1620 Wed FTR1	00658 SEM (11) 1430-1620 Wed S4-SR18	00662 SEM (15) 1430-1620 Thu S4-SR24
1500
1530
1600
1630	00651 SEM (4) 1630-1820 Mon S4-SR18		00656 SEM (9) 1630-1820 Tue S4-SR21		00659 SEM (12) 1630-1820 Wed S4-SR18		00663 SEM (16) 1630-1820 Thu S4-SR24
1700
1730
1800