Economic and Business Statistics II

Student Learning Outcomes, Goals, Objectives:

Students successfully completing this course will be able to:

• Describe and explain statistical methods to compare two populations.

• Describe and explain single and multiple linear regression methods in business and economics.

• Apply confidence intervals, hypothesis testing, and linear regression models to empirical problems in business and economics.

• Interpret the results of these statistical models.

• Use Excel and STATA as a tool for implementing these statistical methods.

• Get acquainted with the causal inference methods commonly used in academia, government, and the private sector.

Course Grading Information:

Activity/Performance Measure	Percentage/Points
MindTap homework assignments	20%
Canvas quizzes	10%
Data project	10%
Midterm exam	25%
Final exam	35%

Percentage	Letter Grade
93% +	A
90% - 93%	A-
87% - 90%	B+
83% - 87%	B
80% - 83%	B-
77% - 80%	C+
73% - 77%	C
70% - 73%	C-
67% - 70%	D+
63% - 67%	D
60% - 63%	D-
- 60	F

Attendance/Participation:

Attendance is not required but students who attend and participate in class discussions will earn up to 5 points added to their final grade.

Course Materials Purchased by the Students:

All students are required to purchase access to MindTap, Cengage’s online learning platform. The platform will be used for homework assignments and includes access to a digital version of the main course textbook - Essentials of Modern Business Statistics with Microsoft Excel (9th ed.).