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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
TRB 104STATISTICS3 + 02nd Semester4

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective The purpose of this course is to teach basic statistical principals used in agriculture and biology field with their samples to the students.
Course Content Basic concepts of statistics, probability, sampling, measures of location and distribution, confidence intervals, hypothesis testing, chi-square analysis, regression and correlation analysis.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

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

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)14456
Hours for off-the-classroom study (Pre-study, practice)10440
Mid-terms144
Final examination144
Total Work Load

ECTS Credit of the Course






104

4
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1LEVENT KIRCA


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
TRB 104 STATISTICS 3 + 0 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. LEVENT KIRCA lkirca@pau.edu.tr ÇMYO A0053 %70
Goals The purpose of this course is to teach basic statistical principals used in agriculture and biology field with their samples to the students.
Content Basic concepts of statistics, probability, sampling, measures of location and distribution, confidence intervals, hypothesis testing, chi-square analysis, regression and correlation analysis.
Topics
WeeksTopics
1 Basic concepts and summarisation of data
2 Descriptive statistics averages
3 Descriptive statistics measures of change
4 Correlation and regression
5 Correlation and regression
6 Statistical distributions
7 Statistical distributions
8 Sampling distributions
9 Hypothesis controls z controls
10 Hypothesis controls t controls
11 Hypothesis controls t controls
12 Confidence interval
13 Chi-square distribution and chi-square tests
14 Chi-square distribution and chi-square tests
Materials
Materials are not specified.
Resources
ResourcesResources Language
Mazmanoğlu, A. (2016). Herkes için temel istatistik yöntemleri ve uygulamaları. Nobel.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