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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
OTI 114STATISTICS I3 + 03rd Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective To provide an introduction to some concepts of probability and statistics with applications of business and economic problems. The course illustrates many examples of common statistical methods for students who would like to focus on descriptive relationships and information intensive
Course Content Permutations, Combinatins, Probability, Discrete and Continuous random variables with their probability distributions and expectations, Samping distributions
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
14will be able to create and use graphs for categorical and numerical data, and to describe relationships between variables will be able to use measures of central tendency, variation, and shape, and use population summary measures will be able to use covariance and correlation to identify relationships between numerical variables

COURSE'S CONTRIBUTION TO PROGRAM
Data not found.

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-terms188
Final examination11010
Report / Project14228
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Fall2TAHSİN AVCI


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
OTI 114 STATISTICS I 3 + 0 2 Turkish 2020-2021 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Lecturer TAHSİN AVCI tavci@pau.edu.tr UBYO A0140 %70
Goals To provide an introduction to some concepts of probability and statistics with applications of business and economic problems. The course illustrates many examples of common statistical methods for students who would like to focus on descriptive relationships and information intensive
Content Permutations, Combinatins, Probability, Discrete and Continuous random variables with their probability distributions and expectations, Samping distributions
Topics
WeeksTopics
1 What is statistics
2 Basic concepts of statistics
3 Arrangement and presentation of data
4 Classified frequency series
5 Arithmetic, geometric, harmonic mean
6 Mode and media
7 Data Types and Data Collection Methods
8 Deviations
9 SHAPE DIMENSIONS
10 Indexes
11 Probability
12 Discrete Random Variables and Their Distributions
13 Continuous Random Variables and Normal Distribution
14 Example problem solving
Materials
Materials are not specified.
Resources
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