Information Package

TKM219

STATISTICS I

Course Code
TKM219
Semester
Third Term (Fall)
Theory+Practice
3 + 0
ECTS
6
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study2
SemesterThird Term (Fall)
ECTS6
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Know sampling methods
  2. Know the difference between sample and the population
  3. Can calculate descriptive statistics
  4. Can calculate basic and conditional probability
  5. Can describe discrete and continous probablity distributions.
  6. Can organize and analyze the data related to his/her fields
  7. Identify the size of sample
  8. Describe the confidence intervals
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme Components
Course DescriptionThis course covers Frequency Distributions, Graphical Descriptions, Measures of Central Tendency, Measures of Variability, Moments, Skewness, and Qurtosis. Introduction to Probability, Conditional Probability, Independency. Discrete Continuous Probability Distributions (Binomial, Poisson, Geometric and Hypergeometric) and Continuous Probability Distributions (Uniform, Normal and Exponential).
Course Contents
WEEK TOPICS
1st Week Introduction to statistics
2nd Week Data collection & data organization
3rd Week Descriptive statistics I
4th Week Descriptive statistics II
5th Week Basic probablity
6th Week Discrete probablity distributions-I
7th Week Discrete probablity distributions-II
8th Week Mid-term examination
9th Week The normal distribution-I
10th Week The normal distribution-II
11th Week Sampling distributions
12th Week Confidence interval estimation
13th Week Sample size determination
14th Week Problem solving
Recommended or Required ReadingBowerman, B. L., O'Connell, R. T., Murpree, E. S., & Orris, J. B. (2013). Essentials of Business Statistics. Ankara: Nobel.
Berenson, 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
  • Lecture
  • Problem Solving
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 2 2
Preparation for Quiz
Individual or group work 15 3 45
Preparation for Final exam 1 45 45
Course hours 15 3 45
Preparation for Midterm exam 1 30 30
Laboratory (including preparation)
Final exam 1 2 2
Homework
Total Work Load169
Total Work Load / 30 (h)5.63
ECTS Credit of the Course6
Language of InstructionTurkish
Work Placement(s)No
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