Information Package

ECO245

STATISTICS I

Course Code
ECO245
Semester
Third Term (Fall)
Theory+Practice
3 + 0
ECTS
5
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study2
SemesterThird Term (Fall)
ECTS5
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Know the basic concepts related to statistics
  2. Know how to choose a sample
  3. Calculate the descriptive statistics
  4. Organize and analyze the data set
  5. Calculate the confidence interval for the parameter
  6. Know the basic concepts of probability.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNo
Course DescriptionThis course includes variables and graphs, frequency distributions, measures of central tendency, measures of dispersion, probability theory, discrete and continuous probability distributions. The course aims to provide basic knowledge about Statistics.
Course Contents
WEEK TOPICS
1st Week Introduction, Basic Terms, Sampling Methods
2nd Week Frequency Distribution and Graphs
3rd Week Descriptive statistics
4th Week Descriptive statistics for Frequency Distributions
5th Week Probability
6th Week Counting Methods, Permutation, Combination
7th Week Mid-Term Exam
8th Week Discrete variable and probability distributions I
9th Week Discrete variable and probability distributions II
10th Week Continuous variable and probability distributions
11th Week Normal distribution
12th Week Sampling distribution
13th Week Confidence Interval
14th Week Confidence Interval
Recommended or Required ReadingBerenson, M., Levine, D., Kerehbiel, T., Stephan, D. (2011). Basic Business Statistics with MyMathLab Global, Global Edition, 12/E Prentice Hall.
Planned Learning Activities and Teaching Methods
  • Questions/Answers
  • Discussion
  • Lecture
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Total(%) 40
Contribution of In-term Studies to Overall Grade(%) 40
Contribution of Final Examination to Overall Grade(%) 60
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 1.5 1.5
Preparation for Quiz
Individual or group work 14 2 28
Preparation for Final exam 1 55 55
Course hours 14 3 42
Preparation for Midterm exam 1 25 25
Laboratory (including preparation)
Final exam 1 1.5 1.5
Homework
Total Work Load153
Total Work Load / 30 (h)5.1
ECTS Credit of the Course5
Language of InstructionEnglish
Work Placement(s)No
LO1 LO2 LO3 LO4 LO5 LO6
K1 X
K2
K3
K4 X X
K5 X X X X X
K6
K7 X X X X
K8 X
K9
K10
K11
K12
K13