Statistik� e aplikuar

	Business Analytics
Slide presentations: Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Excel Templates for Practical Exercises Raw data from the examples in book [2, Edition 2013] Raw data from the examples in book [2, Edition 2005] Units conversions Software Tools MegaStat Course Syllabus Course Syllabus Goals Evaluation Exams schedule Contents References Web Pares	Compulsary module Teaching methods: seminares, assignments Semester: I Total teaching: 45 hours Teacher: Dr. Faton Berisha, Full professor, University of Prishtina
Go to the top	Goals: Enabling the students for using statistical tools in business and financial applications. Providing the students with knowledge of linear optimization and enabling them for using appropriate software tools in business applications. Providing the students with knowledge of linear optimization and enabling them for using appropriate software tools in business applications.
Go to the top	Students Evaluation: Evaluation is based on the following scheme. Attendance and activity: 10%. Homework: 30%. Midterm exam: 35%. Final exam: 35%. At least 60% of the points are required for a pozitive grade (for details see the course syllabus).
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Go to the top	Contents: Exploration�of�Data Probability�&�Decision�Making�under�Uncertainty Regression�Analysis�&�Forecasting Optimization Simulation
Go to the top	References: Albright,�Winston,�Zappe, Data�analysis�and�decision�making, McGraw-Hill, 2005. B. L. Bowerman, R. T. O'Connell, Business statistics in practice, McGraw-Hill, 2005. H. Reynolds, Mathematical applications -- for the management, life, and social sciences, Houghton Mifflin, 2000.
Go to the top	Useful Web Pages: In order to read the presentations, you need, e.g., Sumatra PDF ose Acrobat Reader SEE University Page