ECON221 Business Statistics II

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Course Code Course Title Weekly Hours* ECTS Weekly Class Schedule
T P
ECON221 Business Statistics II 3 0 6 Monday 16.00-17.00, Wednesday 14.00-16.00
Prerequisite ECON211 It is a prerequisite to
Lecturer Dženita Šiljak Office Hours / Room / Phone
E-mail dzsiljak@ius.edu.ba
Assistant Assistant E-mail
Course Objectives This course is designed to enhance the student's basic knowledge and understanding of the statistical method as it pertains to hypothesis testing.
Textbook Anderson, D.R., Sweeney, D.J., Williams, T.A. (2009). Essentials of Statistics for Business and Economics. Thomson South-Western.
Learning Outcomes After successful  completion of the course, the student will be able to:
  1. Engage with decision-making skills based the outcome of statistical tests.
  2. Analyze real world scenarios and determine the appropriate type of analytical problem solving techniques to utilize.
  3. Interpret the results of print-outs (ANOVA, MLR, etc) generated from a selected software program
  4. Explain the reasoning/basis behind each statistical test.
  5. Manually solve selected statistical problems.
Teaching Methods The methods include lectures (which may involve power point presentation, video and audio aids), student presentations, projects and class discussions.
WEEK TOPIC REFERENCE
Week 1 Introductory Lecture
Week 2 Descriptive statistics review
Week 3 Sampling and sampling distributions Chapter 7
Week 4 Interval estimation Chapter 8
Week 5 Hypothesis tests part 1 Chapter 9
Week 6 Hypothesis tests part 2 / quiz 1 Chapter 9
Week 7 Midterm Exam
Week 8 Comparisons Involving means, experimental design, and analysis of variance part 1 Chapter 10
Week 9 Comparisons Involving means, experimental design, and analysis of variance part 2 Chapter 10
Week 10 Comparisons Involving Proportions and a Test of independence Chapter 11
Week 11 Simple Linear Regression part 1 / quiz 2 Chapter 12
Week 12 Simple LInear Regression part 2 Chapter 12
Week 13 Presentations / quiz 3
Week 14 Presentations
Week 15 Review
Assessment Methods and Criteria Evaluation Tool Quantity Weight Alignment with LOs
Final Exam 1 40 1,2,3,4,5
Semester Evaluation Compenents
Midterm Exam 1 30 1,2,3,4,5
Quiz 3 15 1,2,3,4,5
Project and Presentation 1 15 1,2,3,4
***     ECTS Credit Calculation     ***
 Activity Hours Weeks Student Workload Hours Activity Hours Weeks Student Workload Hours
Lecture Hours 3 15 45 Midterm Exam Study 20 1 20
Home Study 1 14 14 Final Exam Study 23 1 23
Tutorials 2 14 28 Project / Presentation 10 1 10
Quiz 2 5 10
        Total Workload Hours = 150
*T= Teaching, P= Practice ECTS Credit = 6
Course Academic Quality Assurance: Semester Student Survey Last Update Date: 21/02/2020
QR Code for https://ecampus.ius.edu.ba/course/econ211-business-statistics-i

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