Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF ENGINEERING & ARCHITECTURE / MMF-201 - FOOD ENGINEERING

Code: MMF-201 Course Title: STATISTICS Theoretical+Practice: 2+0 ECTS: 4
Year/Semester of Study 2 / Fall Semester
Level of Course 1st Cycle Degree Programme
Type of Course Compulsory
Department FOOD ENGINEERING
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer CEM OKAN ÖZER (cemokanozer@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
Transfering the principles of applied statistics to the students, applying simple statistical methods and interpreting the results.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 To be able to interpret the results of scientific research PO-2 Identifies, defines and solves the problems related to his/her subject area.
PO-3 Plans, applies and analyses the results of high-quality research
Examination
LO-2 To be able to calculate summary statistics PO-2 Identifies, defines and solves the problems related to his/her subject area.
PO-3 Plans, applies and analyses the results of high-quality research
Examination
LO-3 To be able to interpret main distribution types and their properties PO-2 Identifies, defines and solves the problems related to his/her subject area.
PO-3 Plans, applies and analyses the results of high-quality research
Examination
LO-4 To be able to design hypothesis PO-2 Identifies, defines and solves the problems related to his/her subject area.
PO-3 Plans, applies and analyses the results of high-quality research
Examination
LO-5 To be able to analyze the relationship between the different variable types PO-2 Identifies, defines and solves the problems related to his/her subject area.
PO-3 Plans, applies and analyses the results of high-quality research
Examination
LO-6 To be able to interpret quality control chart PO-2 Identifies, defines and solves the problems related to his/her subject area.
PO-3 Plans, applies and analyses the results of high-quality research
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Basic statistical distributions, hypothesis tests, applications
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Basic concepts Lecture, practice, Distance Learning
2 Summarizing the data, descriptive statistics Lecture, practice, Distance Learning
3 Binom distribution, Poisson distribution Lecture, practice, Distance Learning
4 Normal distribution and properties, z transformation Lecture, practice, Distance Learning
5 Sampling distribution, confidence interval estimation Lecture, practice, Distance Learning
6 Hypothesis test, z test, t test Lecture, practice, Distance Learning
7 Independent Samples t test Lecture, practice, Distance Learning
8 mid-term exam
9 Paired Samples t test Lecture, practice, Distance Learning
10 Correlation and Regression Analysis Lecture, practice, Distance Learning
11 Chi square test Lecture, practice, Distance Learning
12 Z test for two proportion Lecture, practice, Distance Learning
13 Data reliability Lecture, practice, Distance Learning
14 Quality Control Charts Lecture, practice, Distance Learning
15 General Practice Lecture, practice, Distance Learning
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Biyoistatistik (Prof. Dr. Ismet KAN Biostatistics, Nobel Publications,2006)
Required Course instruments and materials

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 2 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 2 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 2 14 28
Outside Class
       a) Reading 0
       b) Search in internet/Library 0
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 4 7 28
mid-term exam 1 1 1
Own study for final exam 4 14 56
final exam 2 1 2
0
0
Total work load; 115