COURSE INFORMATION
Course Title: STATISTICS I
Code Course Type Regular Semester Lecture Recit. Lab Credits ECTS
BUS 201 A 3 - - - 4 5
Lecturer and Office Hours: Abdulmenaf Sejdini
Teaching Assistant(s) and Office Hours: -
Language: English
Compulsory/Elective: Compulsory
Classroom and Meeting Time: N/A
Course Description: Statistics I: The aim of the courses is that inference making in Business. The objective of the course is to help students to understand theoretical characteristics of statistical methods and develop practical knowledge and skills to analyze the business data.
Course Objectives: Theory of statistics and its application in business decision making. The topics include statistical concepts such as histograms, mean, median, mode, standard deviation, probability theory and applications, binomial distribution, normal distribution, and Poisson distribution. Understanding and interpreting the differences between the mean, median and mode. Understanding the probability theories and their usage in practice. Understand the usage of normal distribution in practice.
COURSE OUTLINE
Week Topics
1 Introduction. Data and Statistic (ch1)
2 Descriptive Statistic: Tabular and Graphical Presentations (ch2)
3 Description Statistic: Numerical Measures (ch3)
4 Description Statistic: Numerical Measures (Continued)
5 Quiz 1 & Introduction to Probability (ch4)
6 Introduction to Probability (Continued)
7 Review and Discrete Probability Distributions (ch5)
8 Mid-term
9 Continues Probability Distributions (ch6)
10 Sampling And Sampling Distribution (ch7)
11 Sampling And Sampling Distribution(continued)
12 Interval Estimation (ch8)
13 Interval Estimation (ch8) (continued)
14 Review Session
Prerequisite(s): -
Textbook: Essentials of Statistics for Business and Economics, 6th Edition David R. Anderson; Dennis J. Sweeney; Thomas A. Williams; Jeffrey D. Camm; James J. Cochran, 2011
Other References: -
Laboratory Work: N/A
Computer Usage: N/A
Others: No
COURSE LEARNING OUTCOMES
1 Compute various measures of central tendency and variation
2 Construct frequency distributions
3 Explain various probability distributions
4 Understand the usage of normal distribution in practice
COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES
(Blank : no contribution, 1: least contribution ... 5: highest contribution)
No Program Competencies Cont.
COURSE EVALUATION METHOD
Method Quantity Percentage
Homework
1
15
Midterm Exam(s)
1
30
Quiz
2
5
Final Exam
1
40
Attendance
5
Total Percent: 100%
ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)
Activities Quantity Duration(Hours) Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 21 21
Assignments
Final examination 1 10 10
Other 1 14 14
Total Work Load:
125
Total Work Load/25(h):
5
ECTS Credit of the Course:
5