1	Course Title:	STATISTICS
2	Course Code:	ZOO2404
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	2
6	Semester:	4
7	ECTS Credits Allocated:	4
8	Theoretical (hour/week):	2
9	Practice (hour/week) :	2
10	Laboratory (hour/week) :	0
11	Prerequisites:	NONE
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. CENGİZ ELMACI
16	Course Lecturers:	Prof.Dr.Cengiz ELMACI
17	Contactinformation of the Course Coordinator:	Prof. Dr. Cengiz ELMACI Bursa Uludağ Üniversitesi, Ziraat Fakültesi Zootekni Bölümü Tel: 0(224)2941554 e-posta:elmaci@uludag.edu.tr
18	Website:
19	Objective of the Course:	The purpose of this course is to teach basic statistical principals used in agriculture and biology field with their samples to the students.
20	Contribution of the Course to Professional Development	1)They will increase productivity in the professional job by using basic statistical methods. 2)They are able some decision more objectively in production process. 3)They will show rational and successful management by benefit the statistical methods.

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Learning Outcomes:

1 Having the ability of forming the hypotheses for the trials; 2 Ability to test the hypotheses; 3 Planning of the experiments; 4 Ability to appreciate the measurement and data collection methods; 5 Being able to apply the suitable statistically analyses for data; 6 Knows evaluation and interpretation of results; 7 Ability to earn skill on objective deciding ; 8 Being able to apply the basic statistical technics and methods;

22	Course Content:

Week	Theoretical	Practical
1	Introduction to statistics; some definitions, population and sample	Solving problems about population and sample
2	Data and summarization of the data	Solving problems about distribution of frequency
3	Descriptive statistics	Solving problems about mean, variance, Standard deviation, Standard error, median and mode
4	Linear correlation and regression	Solving problems about linear correlation and regression
5	Test, incident and probability	Solving problems about test and probability
6	Theory of probability	Solving problems about some theory of probability
7	Chance variables and values expected	Repeating courses and midterm exam
8	Discrete probability distributions (poisson and binomial distributions)	Solving problems about poisson and binomial distributions
9	Kesiksiz değişkenlerin dağılışları	Solving problems about Normal distribution
10	Sampling distributions	Solving problems about sampling distributions
11	Test distributions (z, F, t tests and Chi-square test)	Solving problems about test distributions
12	Statistical estimation; Point estimation of population mean	Solving problems about statistical estimation
13	Estimation of some parameters and confidence interval	Solving problems about confidence interval
14	Testing hypothesis	Solving problems about testing hypothesis

23	Textbooks, References and/or Other Materials:	Düzgüneş O., Kesici T., Gürbüz F., 1993. İstatistik Metotları(II. Baskı), A.Ü. Ziraat Fakültesi Yayınları:1291, Ders Kitabı: 369, Ankara. Kan İ., 1998. Biyoistatistik. U.Ü. Güçlendirme Vakfı Yayın No:128, VİPAŞ Yayınları: 4, Uludağ Üniversitesi Basımevi, Bursa. Kesici T., Kocabaş Z., 1998. Biyoistatistik, Ankara Üniversitesi Eczacılık Fakültesi Yayın No:79, Ankara. Keskin, İ., Başpınar, E., Altay, Y., Mikail, N., 2023. Biyometri (Rstudio Uygulamalı),Necmettin Erbakan Üniversitesi Yayınları:226, Konya. Kocabaş Z., Özkan M.M., Başpınar E., 2013. Temel Biyometri. Ankara Üniversitesi Ziraat Fakültesi, Yayın No:1606, Ders Kitabı:558, Ankara. Turan Z.M., 1998. İstatistik. U.Ü. Ziraat Fakültesi, Ders Notları No: 78, Bursa.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course	For assessment and evaluation, article 29 of the Bursa Uludag University Rules and Regulations governing undergraduate studies are used.
Information	Relative evaluation system(RES) are used to determine for success of student.

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ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	2	28
Practicals/Labs	14	2	28
Self Study and Preparation	14	2	28
Homeworks, Performances	0	0	0
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	1	16	16
Others	0	0	0
Final Exams	1	20	20
Total WorkLoad			120
Total workload/ 30 hr			4
ECTS Credit of the Course			4

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 5 4 4 5 1 5 2 0 0 2 0 3 LO2 4 3 2 4 0 3 4 0 0 0 0 2 LO3 3 2 3 3 0 4 2 0 1 0 0 2 LO4 3 2 0 3 0 2 2 0 1 0 0 1 LO5 1 4 0 2 0 5 4 0 0 0 0 1 LO6 1 0 1 0 0 1 0 0 0 0 0 0 LO7 2 4 0 0 0 2 1 0 5 0 0 1 LO8 4 2 2 3 0 2 2 0 0 2 0 2

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High