Probability And Statistics
2018/2019, Semester 1
School of Continuing & Lifelong Edn (School of Continuing & Lifelong Edn)
Modular Credits: 4
Our first meeting will be on 15 Aug, Wednesday from 1830 - 2000 hours at S16-05-98.
Aims & Objectives
This module teaches students some fundamental concepts of probability, such as how to calculate the probability A will happen given the knowledge that B has also happened, what random variables are and what it means for them to be dependent or independent of each other. Students will learn some common probability distributions, how to estimate properties of a population that is only partially sampled and how to evaluate hypotheses about that population, under the assumption that the characteristic being measured follows a Normal/Gaussian distribution.
Basic concepts of probability, conditional probability, independence, random variables, joint and marginal distributions, mean and variance, some common probability distributions, sampling distributions, estimation and hypothesis testing based on a normal population.
Dr David Chew
Office: S16-06-108, Tel: 6516-5239
Please indicate the subject TMA2103 when you email me.
We will adopt a
model for our classes.
The blended learning model employs a mixture of (1) on-line video lectures and (2) off-line "live" discussions to deliver course content, which is more effective than a fully "flipped-class" where course content are delivered solely via online videos.
Most course contents will be delivered online via video lectures so students are expected to watch the video lectures before coming in for the "live" discussions/tutorial classes.
We gather on the following dates for "live" discussions/tutorial classes:
15 Aug, 29 Aug, 12 Sep, 03 Oct, 24 Oct, 07 Nov
We then meet on
for a revision lecture to wrap up the course.
A word about PeerQuestions
Students may ask questions via the PeerQuestions system whenever we meet for "live" lectures. To do so, SMS your messages to the number
in the format
I will use the code
throughout the semester. For example, to ask ``
Why U So Like Dat?
", simply SMS
TMA2103 Why U So Like Dat?
to the number
Alternatively, you may post your questions via
We hope to give some time during tutorials for group discussions so we will divide each tutorial class into several discussion groups. After the group discussions, one student from each group will then be asked to present a summary of their discussions to the whole class.
Your final grade for the course will depend on
tutorial participation (
in-class work (
FIVE online quizzes (
ONE 1-hour mid-semester examination (
--- multiple choice questions and short questions, on
10 Oct 2018, Wednesday from 1900-2000hrs
ONE 2-hour final examination (
--- open ended questions, on
28 Nov 2018, Wednesday from 0900-1100hrs
Both the mid-semester and final examinations are
but students will be allowed to bring along
ONE A4 size help-sheet
You will note the low weightage given to the online quizzes and tutorial participation components. This is deliberate as the purposes of these components are to encourage you
with the lecture progress (online quizzes), and
in discussions during classes (tutorial participation).
Ask your fellow students on the
me your question with the subject [TMA2103].
The replies might be published on the
IVLE module FAQ
so that everyone can read them.
me questions during lecture breaks or at the end of lectures.
Make an appointment
to meet me.
Finally, one important study tip from Sir Ian McKellen ---
[Utts] 1.1 - 1.3
[Utts] 5.1, 5.3 - 5.5, [De Veaux] 1.2-1.3
[Utts] 2.1 - 2.5, [De Veaux] 2.1 - 2.2, 3.1 - 3.7
[Utts] 7.1 - 7.5, [De Veaux] 13.1 - 13.3, 14.1 - 14.5
[Utts] 8.1 - 8.4, [De Veaux] 15.1 - 15.2, 16.1 - 16.6
[Utts] 8.5 - 8.8, [De Veaux] 15.3 - 15.4, 16.7
[Utts] 9.1 - 9.3, 9.6, 9.9 - 9.10, [De Veaux] 17.1 - 17.5
[Utts] 10.1, 10.4, 11.1 - 11.2, 11.5, 12.1, 13.1 - 13.2, 13.5 [De Veaux] 20.1 - 20.5, 21.1 - 21.4
[Utts] 11.4, 13.3 - 13.4 [De Veaux] 22.4 - 22.7, 23.1 - 23.3
Mind on Statistics
Jessica M. Utts, Robert F. Heckard
Stats: Data and Models
Richard D. Dex Veaux, Paul F. Velleman, David E. Bock
Miller and Freund's Probability and Statistics for Engineers
Richard Johnson, John Freund, Irwin Miller