Pamukkale University
University is the guide to life
Welcome to PAU;
Prospective Student
Our Students
Our Staff
TR
Information Package & Course Catalogue
Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes
FIRST CYCLE - BACHELOR'S DEGREE
SCHOOL OF APPLIED SCIENCES
ORGANIC FARMING BUSINESSS DEPARTMENT
422 ORGANIC FARMING MANAGEMENT(Evening Classes)
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
Print
COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
OTI 116
STATISTICS II
3 + 0
4th Semester
5
COURSE DESCRIPTION
Course Level
Bachelor's Degree
Course Type
Compulsory
Course Objective
To provide the fundamental 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 information intensive
Course Content
interval estimation: one and two populations, Hypothesis Tests of one and two populations, Simple and multiple regression analysis
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
16
intervals for the mean of one and two populations that are normally distributed when the population variance is known and population variance is unknown will be able to apply hypotesis tests for the mean of a population or between two populations that are normally distributed when the population variance is known and population variance is unknown will be able to identify the dependent and the independent variables of the given data and to conclude whether given variables are related or not
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
PO 04
PO 05
PO 06
PO 07
PO 08
PO 09
PO 10
LO 016
1
1
1
2
Sub Total
1
1
1
2
Contribution
1
0
1
1
2
0
0
0
0
0
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities
Quantity
Duration (Hour)
Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)
14
3
42
Assignments
14
4
56
Mid-terms
1
2
2
Final examination
1
3
3
Report / Project
9
3
27
Total Work Load
ECTS Credit of the Course
130
5
COURSE DETAILS
Select Year
All Years
2023-2024 Spring
2022-2023 Spring
2021-2022 Spring
2020-2021 Spring
2019-2020 Spring
2018-2019 Spring
2017-2018 Spring
2016-2017 Spring
Course Term
No
Instructors
Details
2023-2024 Spring
3
ALAETTİN KEÇELİ
Details
2022-2023 Spring
2
ALAETTİN KEÇELİ
Details
2021-2022 Spring
3
ALİME BAYINDIR EROL
Details
2017-2018 Spring
2
ALİME BAYINDIR EROL
Details
2016-2017 Spring
2
ALİME BAYINDIR EROL
Print
Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
OTI 116
STATISTICS II
3 + 0
3
Turkish
2023-2024 Spring
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Asts. Prof. Dr. ALAETTİN KEÇELİ
alaettink@pau.edu.tr
Course location is not specified.
%70
Goals
To provide the fundamental 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 information intensive
Content
interval estimation: one and two populations, Hypothesis Tests of one and two populations, Simple and multiple regression analysis
Topics
Weeks
Topics
1
2
3
4
5
6
7
8
9
10
11
12
13
14
Materials
Materials are not specified.
Resources
Course Assessment
Assesment Methods
Percentage (%)
Assesment Methods Title
Final Exam
70
Final Exam
Midterm Exam
30
Midterm Exam
L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
{1}
##LOC[OK]##
{1}
##LOC[OK]##
##LOC[Cancel]##
{1}
##LOC[OK]##
##LOC[Cancel]##
Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes