QM2 Quantitative Methods 2

General

• Wednesday Practicals (R)
  • Attendance Required
• Wednesday Lectures
  • no attendance required, but recommended
• zehra.eksi@wu.ac.at, nurtai.meimanjan@wu.ac.at

Grading

• quiz questions 10 points
• midterm 20 points
• case study 20 points
• final exam 50 points

Case Study Groups

• groups of 4
• use group label/number during communication

Content

• Exam Info QM2
• Probability
• Statistics and Data, Describing qualitative data
  • Explanation of Concepts Home Assignment 2
• Describing Qualitative and Quantitative Data (midterm cutoff in here)
• Sampling Distributions, CLT
• Confidence Intervals
• Hypothesis Testing
  • Complete Example
• Linear Regression
• Two-Sample Tests (probably not exam relevant)
  • Multiple Regression Exercise

Future Encounters

• Specializations: Business Mathematics
  • linear algebra and analysis
  • probability
  • statistics
  • computing
• Specializations: Business Analytics 2
  • handle, visualize and summarize big data files in R
  • formulate and test hypotheses, and interpret their results in a business context
  • design, apply, and validate appropriate regression models to given real-world data sets
• in all the math-heavy courses a lot of Linear Regression is used
• bachelor thesis with institute for statistics and mathematics
  • also with non-strict mathematical thesis
  • big plus if thesis is data-heavy for ML or data analysis tasks