ECON211 Business Statistics I

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Course Code Course Title Weekly Hours* ECTS Weekly Class Schedule
T P
ECON211 Business Statistics I 3 2 6 Monday:16:00-16.50 Wednesday: 14:00-15:50
Prerequisite MATH100 It is a prerequisite to
Lecturer Office Hours / Room / Phone

Currently not available

E-mail
Assistant Abdul Wahab Aidoo Assistant E-mail aaidoo@student.ius.edu.ba
Course Objectives This course will help students to understand the elementary probability theory and how to apply it to analyze statistical problems. It also provides an opportunity for students to understand how various mathematical knowledge and techniques which they have learned in different courses unite together to serve a common purpose.
Textbook Anderson, D.R., Sweeney, D.J., and Williams, T.A. (2011). Essentials of Statistics for Business and Economics. South-Western CENGAGE Learning, 6th Edition
Learning Outcomes After successful  completion of the course, the student will be able to:
  1. Use set–theoretic notation to describe events and compute probabilities.
  2. Compute and interpret conditional probability.
  3. Test for independence of events or of random variables
  4. Find probability information of a random variable which is defined as a function of another or several other random variables
  5. Represent given data graphically and compute descriptive statistics.
  6. Compute the bias of an estimator
Teaching Methods The methods include lectures (which may involve power point presentation, video and audio aids), quizzes, and class discussions.
WEEK TOPIC REFERENCE
Week 1 Introductory Lecture
Week 2 Data and Statistics Chapter 1
Week 3 Descriptive Statistics: Tabular and Graphical Presentations Chapter 2
Week 4 Descriptive Statistics: Tabular and Graphical Presentations Chapter 2
Week 5 Descriptive Statistics: Numerical Measures / Quiz 1 Chapter 3
Week 6 Descriptive Statistics: Numerical Measures Chapter 3
Week 7 Midterm Exam
Week 8 Introduction to Probability Chapter 4
Week 9 Introduction to Probability Chapter 4
Week 10 Discrete Probability Distributions Chapter 5
Week 11 Discrete Probability Distributions Chapter 5
Week 12 Continuous Probability Distribution Chapter 6
Week 13 Sampling and Sampling Distributions Chapter 6
Week 14 Student presenations
Week 15 Review
Assessment Methods and Criteria Evaluation Tool Quantity Weight Alignment with LOs
Final Exam 1 40 1,2,3,4,5,6
Semester Evaluation Compenents
Midterm Exam 1 30 1,2,3,4,5,6
Quiz 2 10 1,2,3,4,5,6
Student Presentations 1 10 1,2,3,4,5,6
Lecture attendance 15 5
Tutorial attendance 15 5
***     ECTS Credit Calculation     ***
 Activity Hours Weeks Student Workload Hours Activity Hours Weeks Student Workload Hours
Lecture Hours 3 15 45 Quiz 5 2 10
Home Study 1 15 15 Midterm exam study 20 1 20
Active Tutorials 2 14 28 Final exam study 25 1 25
Project 7 1 7
        Total Workload Hours = 150
*T= Teaching, P= Practice ECTS Credit = 6
Course Academic Quality Assurance: Semester Student Survey Last Update Date: 04/03/2020
QR Code for https://ecampus.ius.edu.ba/course/math100-mathematical-skills

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