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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 201 3 + 03rd Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective To teach students the concept and methods of descriptive statistics, and to enable them to apply these methods in real life problems
Course Content Introduction to statistics, Basic contents, Central Tendency Measures, Variability Measures, Probability, Discrete Random Variables and Probability Distributions, Continues Random Variables and Probability Distributions
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Recognizes the basic concepts of statistics, classifies the data, makes numerical summaries of the data, and visualizes the data in accordance with their structure.
2Recognizes the basic concepts and theories of probability.
3Recognize discrete and continuous probability distributions, and has knowledge of how to use these concepts.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14
LO 001     2       2
LO 002     2        
LO 003     2        
Sub Total     6       2
Contribution00000200000001

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Mid-terms12020
Final examination12626
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Fall6AYŞEGÜL TUŞ


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EKNM 201 3 + 0 6 Turkish 2023-2024 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. AYŞEGÜL TUŞ atus@pau.edu.tr İİBF C0104 %70
Goals To teach students the concept and methods of descriptive statistics, and to enable them to apply these methods in real life problems
Content Introduction to statistics, Basic contents, Central Tendency Measures, Variability Measures, Probability, Discrete Random Variables and Probability Distributions, Continues Random Variables and Probability Distributions
Topics
WeeksTopics
1 Introduction to Statistics
2 Basic Concepts, Population and Sample
3 Central Tendency Measures
4 Variability Measures
5 Classified Data and Measures
6 Histogram, Bar chart, Line chart (Time Series Plot), Pie chart, Scatter plot
7 Probability, Random Experiment, Outcomes and Events
8 Probability and Its Postulates, Probability Rules
9 Bivariate Probabalities, Bayes Theorem
10 Discrete random Variables
11 Probability Distributions and Expected Values of Discrete Random Variables
12 Binomial Distribution
13 Hipergeometric Distribution
14 Poisson Distribution
Materials
Materials are not specified.
Resources
ResourcesResources Language
Statistics for Business and Economics, Paul Newbold, William L. Carlson, Betty Thorne, Eight Ed., New Jersey, 2012.English
İşletme ve İktisat İçin İstatistik, Paul Newbold (Çev.: Ümit Şenesen), Literatür Yayınevi, 2009.Türkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes