This course provides an elementary introduction to statistics. Topics include descriptive statistics, sampling, estimation, and hypothesis testing. The course is designed for students planning for honours in economics.

Interactive Lectures: Two hour lectures x 7 weeks

Tutorials: One 1-hour tutorials x 4 weeks

Computer Labs: One 1- hour lab x 3 weeks 

Please refer to MyCampus for details.

Stats 1002 and 1003

SPS 1001 and 2001

Geography 1 and Geography 2

Psychology 1 and Psychology 2

Q-step 1 and Q-step 2

None.

ILO

The course aims to:

■ Introduce graphical and numerical descriptive statistics.

■ Introduce the basic principles of statistical inference.

■ Build a starter statistical toolbox to describe data and perform basic statistical inference.

■ Familiarise with statistical software.

Prepare for more advanced quantitative courses.

By the end of this course students will be able to:

1. Summarize and describe data to support decisions.

2. Describe the sampling distribution of statistics of interest and appreciate the importance of the law of large number and the central limit theorem.

3. Construct and interpret point and interval estimate and describe their statistical properties.

4. Test hypothesis of interests using appropriate statistical tests.

5. Use a statistical software to produce descriptive statistics and conduct inference.

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.