 A. CourseIntroduction:

Business Data Analysis is required class for Master ofInternational Business program in Southeast University

The objectives of this class are:

·Attempt to explain the main stylized factscontained in the world economy.

·Earn the ability to think critically, toanalysis and evaluate claims, evidence     and arguments,and to reason and deploy evidence clearly and logically.

·Earn the ability to deploy criticallyevaluated information to practical ends.

After class study,students are expected to have mastered: (1) data analysis and its use as amanagerial tool and (2) statistical methods with material related to subjectstaught in the school of business. Students will develop their quantitative andICT skills and learn how to apply statistical techniques to solve problems inthe real world of business.

B.Teaching Syllabus:

Lecture 1

1.1Statisticsand statistical terms

1.2Conceptof data and variables

1.3Roleof statistics

Lecture 2

1.1Datasources

1.2Typesof Data Scale of measurement

1.3Ethicalguidelinesfor statistical practice

1.4Introductionto statistical package

Lecture3

3.1Descriptivestatistics: Data tabulation and Graphical methods

3.2Introduction tostatistical package

Lecture 4

4.1 Descriptive statistics: Numerical methods

Lecture 5

5.1 Introduction to probabilityand discrete probability distributions

Lecture 6

6.1Continuous probabilitydistributions

Lecture 7

7.1Sampling andsample Surveys.

7.2 Introduction to statisticalpackage

Lecture 8

8.1 Sampling distributions

8.2 Central Limit Theorem

Lecture 9

9.1 Interval estimation / Confidence interval

9.2 Sample size determination

Lecture 10

10.1 Hypothesis testing introduction

10.2 One Sample Hypothesis test

Lecture11

11.1 Two Sample Hypothesis test

11.2 ANOVA Analysis

Lecture12

12.1 Nonparametric statistical methods

Lecture13

13.1 Revision

C. ClassSchedule

 Week Course   Content Teaching   Method 1 Statistics  and statistical terms. Concept of data and variables.  Role of  statistics. Statistical package L 2 Data  sources (I). Types of Data Scale of  measurement. Ethical  guidelines for statistical practice. Introduction to  statistical  package L/D 3 Data  sources (II). Types of Data Scale of  measurement. Ethical  guidelines for statistical practice. Introduction to  statistical  package L/D 4 Descriptive  statistics: Data tabulation and Graphical methods. Introduction  to  statistical package L 5 Descriptive  statistics: Numerical  methods (I) L 6 Descriptive  statistics:  Numerical methods ( II ) 7 Introduction  to probability and discrete probability distributions L/D 8 Continuous  probability distributions (I) L 9 Continuous  probability distributions ( II ) L 10 Sampling  and sample Surveys. Introduction to statisticalpackage  (I) L/D 11 Sampling  and sample Surveys. Introduction to statisticalpackage  ( II ) L/D 12 Sampling  distributions L 13 Interval  estimation / Confidence interval. Sample size determination L 14 Hypothesis  testing L 15 Two  Sample Hypothesis test L/D 16 ANOVA  Analysis L 17 Nonparametric  statistical methods L 18 Revision(  II )

Note:

1. Course terms: Autumn

2.The teaching languages for courses: English (Encouragestudents to discuss in Chinese)

3. Teaching methods: lecture, seminar, practice, etc.

4.Examination for degree courses must be in paper.

DTeaching Materials CH1-3.pdf CH6-8.pdf CH9-12.pdf CH20.pdf 