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| MGKT2004 | Statistics | 2+2+0 | ECTS:4 | | Year / Semester | Spring Semester | | Level of Course | Short Cycle | | Status | Elective | | Department | DEPARTMENT of FOOD PROCESSING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures and 2 hours of practicals per week | | Lecturer | Öğr. Gör. Dr Meryem Nur KANTEKİN ERDOĞAN | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To create the basic statistics and mathematics infrastructure required for statistical science.
To teach how to analyze the data obtained from the experiments and how to interpret and present the analysis results. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | describe the basic concepts and principles of statistics and probability. | 1,12 | 1, | | LO - 2 : | summarize the data and interpret graphs. | 1,15 | 1, | | LO - 3 : | apply statistics and probability formulas to data and real situations encountered correctly. | 1,15 | 1, | | LO - 4 : | distinguish between the probability distributions and determine the appropriate distribution of problem. | 1,16 | 1, | | LO - 5 : | gain the ability to design a research or experiment. | 1,15 | 1, | | LO - 6 : | gain an analytical and holistic perspective . | 1,15 | 1, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Descriptive statistics, organization and analysis of data, frequency tables, graphical representations, measures of central tendency, arithmetic mean, mode, median, geometric mean, harmonic mean, measures of dispersion, variance, mean absolute deviation, quartiles, hypothesis tests, parametric and nonparametric tests, correlation and regression analyses, variance analyses.
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to Statistics
The role and meaning of statistics | | | Week 2 | Basic statistical terms | | | Week 3 | Data types, data arrangement, classification | | | Week 4 | Statistical and graphical representations of data | | | Week 5 | Descriptive Statistics
Measures of Central Tendency | | | Week 6 | Descriptive Statistics
Deviation Criteria from Mean Value
| | | Week 7 | Tanımlayıcı İstatistik
Ortalamadan Sapma Ölçütleri
| | | Week 8 | Descriptive Statistics
Deviation from normality | | | Week 9 | Hypothesis Testing | | | Week 10 | Mid-term exam
| | | Week 11 | Parametric Hypothesis Testing | | | Week 12 | Nonparametric Hypothesis Testing | | | Week 13 | Correlation Analysis | | | Week 14 | Analysis of Variance | | | Week 15 | Regression Analysis | | | Week 16 | Final exam | | | |
| 1 | Tekin, Vasfi Nadir. 2019; İstatistiğe Giriş, Seçkin Yayıncılık, Ankara. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 16.04.2024 | 1 | 50 | | End-of-term exam | 16 | 12.06.2024 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 2 | 14 | 28 | | Sınıf dışı çalışma | 2 | 14 | 28 | | Arasınav için hazırlık | 3 | 6 | 18 | | Arasınav | 1 | 1 | 1 | | Uygulama | 2 | 14 | 28 | | Dönem sonu sınavı için hazırlık | 4 | 4 | 16 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 120 |
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