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| IST1003 | Introduction to Statistics | 4+0+0 | ECTS:5 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of STATISTICS and COMPUTER SCIENCES | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 4 hours of lectures per week | | Lecturer | Prof. Dr. Türkan ERBAY DALKILIÇ | | Co-Lecturer | PROF. DR. Türkan ERBAY DALKILIÇ | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To teach students the basic statistical concepts and enable them to use these concepts using a computer. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | form the frequency table of data set | 1,3,4,5,8,10,11 | 1 | | LO - 2 : | describe the mean, mode, median variance and standard deviation about data set using frequency table. | 1,2,3,4,5,6,8,10,11 | 1 | | LO - 3 : | draw the histogram and the other graphs for the data set | 1,2,3,4,5,6,10,11 | 1 | | LO - 4 : | determine the simple linear regression model for data set | 1,2,3,4,5,6,8,10,11 | 1 | | LO - 5 : | Can hypothesis test for the mean. | 1,2,3,4,6,7,10,11 | 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 | | |
| Brief history of statistics, basic concepts, statistical thinking for presentation and analysis of data, discussion of some application areas of modern statistics, summary statistics and elements of exploratory data analysis, introduction to use of computer solving tools. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Brief history of statistics. Basic Concepts. | | | Week 2 | Preparation of the data | | | Week 3 | Frequency Tables, Cumulative Frequency Tables | | | Week 4 | Graph types used in statistics. | | | Week 5 | Mean, median and mode in quantitative data | | | Week 6 | Quantitative Measures of Change in the Data (Variance, Standard Deviation)
| | | Week 7 | Quantitative Measures of Change in the Data(Skewness, Kurtosis and deviating value) | | | Week 8 | Measures of Location and Change in the qualitative data | | | Week 9 | Mid-term exam | | | Week 10 | Frequency Timelines of Multivariate Qualitative and Quantitative Data | | | Week 11 | Simple Linear Regression Analysis | | | Week 12 | Describeable and undescribeable change. Calculation of the Correlation coefficient. | | | Week 13 | Introduction to hypothesis testing, The first and second type of error. | | | Week 14 | Chi-Square Analysis for independence. | | | Week 15 | Hypothesis test for the mean of one sample and two samples. | | | Week 16 | End-of-term exam | | | |
| 1 | Akdeniz, A., 1984; Olasılık ve İstatistik, Ankara Üniversitesi Basımevi, Ankara. | | | |
| 1 | Ersoy, N., Erbaş, S.O. 1996; Olasılık ve İstatistiğe Giriş, Gazi Kitabevi, Ankara. | | | 2 | N. Çömlekci, 1985; İstatistiğin tarihcesi, Anadolu Ü., Eskişehir. | | | 3 | Apaydın, A., Kutsal, A., Atakan, C., 1994; Uygulamalı İstatistik, Baran Ofset, Ankara. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 09/11/2019 | 1,5 | 50 | | End-of-term exam | 16 | 08/01/2020 | 1,5 | 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 | 4 | 14 | 56 | | Sınıf dışı çalışma | 2 | 14 | 28 | | Arasınav için hazırlık | 5 | 1 | 5 | | Arasınav | 1.5 | 1 | 1.5 | | Ödev | 5 | 5 | 25 | | Dönem sonu sınavı için hazırlık | 10 | 1 | 10 | | Dönem sonu sınavı | 1.5 | 1 | 1.5 | | Total work load | | | 127 |
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