Statistics

Course No.: SMH1142102    Credit(s): 4

Course Description

The course provides explanation of basic statistics from descriptive statistics to inductive statistics, from basic probabilities to modern regression analysis and correlation, and introduces the knowledge about time series and statistics index. the following material will be covered: data displays and summary statistics for quantitative and qualitative variables; correlation and simple regression for pairs of variables; probability to deal with partial and uncertain knowledge; the law of large numbers; the normal distribution and the central limit theorem; statistical inference based on standard errors, confidence intervals and statistical hypothesis tests; time series and statistics index. Also students are taught the use of statistical software (Excel) to handle the computations.

Course Learning Outcomes

After studying the course, students will have the ability to collect, sort and analyze the data independently and to provide technical support to decision-making by delivering quantitative evidences, and reach a reasonable level of competence in statistical analysis.

Relationship to Other Courses

The prerequisite for this course is Advanced Mathematics.

Textbook and Reading Lists

Textbook:

Wuyi Zeng, Hongye Xiao, Introduction to Statistics (2nd edition). Science Press, 2013.

Suggested reading lists:

Aczel, Amir D, Complete Business Statistics (3rd edition). Chicago: Irwin, 1996.

Beyer, William H. CRC, Handbook of Tables for Probability and Statistics (2nd edition). Boca Raton, Fla.: CRC Press, 1986.

Allan Bluman, McGraw Hill, Elementary Statistics: A step by step Approach (8th edition). 2012.

Course Assessment

Course Schedule