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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
STATISTICS I ECON217 Third Term (Fall) 3 + 0 5

TYPE OF COURSE UNITCompulsory Course
LEVEL OF COURSE UNITBachelor's Degree
YEAR OF STUDY2
SEMESTERThird Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED5
NAME OF LECTURER(S)Professor Mehmet Güray Ünsal
Assistant Professor Hajar Farnoudkıa
LEARNING OUTCOMES OF THE COURSE UNIT 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
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONThe course, which aims to introduce mathematical statistics, includes variables and graphs, frequency distribution, measures of central tendency, measures of dispersion, moments, skewness and kurtosis, theory of probability,discrete probability distribution and continuous probability distributions.
COURSE CONTENTS
WEEKTOPICS
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
RECOMENDED 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 METHODSLecture,Problem Solving
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term140
Total(%)40
Contribution of In-term Studies to Overall Grade(%)40
Contribution of Final Examination to Overall Grade(%)60
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam11,51,5
Preparation for Quiz
Individual or group work14228
Preparation for Final exam15050
Course hours14342
Preparation for Midterm exam13030
Laboratory (including preparation)
Final exam11,51,5
Homework
Total Workload153
Total Workload / 305,1
ECTS Credits of the Course5
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
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