Module Catalogues

Elementary Statistics

Module Title Elementary Statistics
Module Level Level 0
Module Credits 5.00
Academic Year 2017/18
Semester SEM2

Aims and Fit of Module

- To develop students' ability to work independently and to acquire the skill of problem solving
- To improve students’ ability to learn academic contents using English
- To develop the ability to use mathematical models to simple practical problems
- To train students’ ability to learn academic content using on-line study platform

Learning outcomes

A Understand the basic technique of descriptive statistics and be able to use different plots or graphs to make elementary data analysis;
B Grasp the basic concepts of probability, and use it to further study the discrete probability distributions (Binomial, Possion) and continuous probability distribution (Normal);
C Understand the sampling distribution and the central limit theorem and be able to use normal distribution to estimate binomial distribution;
D Understand the basic principle of confidence intervals and hypothesis testing;
E Understand the basic principle of correlation and regression;
F have a good appreciation of the link between mathematics and other subjects;

Method of teaching and learning

Students will be expected to attend about four hours of formal lectures and tutorials in a typical week. Lectures will introduce students to the academic content and practical skills which are the subject of the module, while problem classes and tutorials will allow students to practice those skills.
In addition to contact hours, students will be expected to devote sufficient unsupervised time to private study. Private study will provide time for reflection and consideration of lecture material and background reading.
Continuous assessment including paper home assignments and quizzes will be used to test to what extent practical skills have been learnt.
Two mini projects (choose from Data analysis and visualization, linear regression and least square approach, and confidence interval and hypothesis testing) will be designed to give the students chance to apply their knowledge in the lecture to practical problems.
On-line homework (mylabplus) will be used to encourage students to perform self-study and use modern technique to finish coursework timely.
Written examinations at the end of the module constitute the major part of assessment of the academic achievement.
In order to facilitate the smooth transition to the English delivery of all modules from year 2, this module will be delivered in English.