1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF AGRICULTURE
  3. GARDEN PLANTS DEPARTMENT
  4. 523 HORTICULTURAL CROPS
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
BBT 104STATISTICS2 + 02nd Semester3

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective It is aimed to adopt various statistical principles used in agriculture and biology by using appropriate examples.
Course Content Introduction - Course Introduction, Measures of Central Tendency, Measures of Dispersion, Probability, Discrete probability distributions (binomial, poisson), Continuous probability distributions (normal, standard normal), Sampling Theory, Hypothesis Testing, Categorical Data Analysis (Chi-Square), Regression, Correlation, Introduction to variance analysis.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1The ability to formulate hypotheses about experiments;
2Testing of hypotheses;
3Planning the trials ;
4Understanding of measurement and data collection methods;
5Making appropriate statistical analyses of the data;
6To know the evaluation and interpretation of the results;
7Ability to apply basic statistical techniques and methods;

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14
LO 001              
LO 002              
LO 003              
LO 004              
LO 005              
LO 006              
LO 007              
Sub Total              
Contribution00000000000000

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)10330
Mid-terms133
Final examination133
Total Work Load

ECTS Credit of the Course





78

3
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
BBT 104 STATISTICS 2 + 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 A0052 %70
Goals It is aimed to adopt various statistical principles used in agriculture and biology by using appropriate examples.
Content Introduction - Course Introduction, Measures of Central Tendency, Measures of Dispersion, Probability, Discrete probability distributions (binomial, poisson), Continuous probability distributions (normal, standard normal), Sampling Theory, Hypothesis Testing, Categorical Data Analysis (Chi-Square), Regression, Correlation, Introduction to variance 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