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| IST1003 | Introduction to Statistics | 4+0+0 | ECTS:6 | | 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 | | | Contact Hours | 14 weeks - 4 hours of lectures per week | | Lecturer | Dr. Öğr. Üyesi Erdinç KARAKULLUKÇU | | Co-Lecturer | PROF. DR. Türkan ERBAY DALKILIÇ | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The aim of this course is to introduce students to the science of statistics and to introduce them to the general concepts of data science such as data collection, data visualization, analysis of statistical series, regression analysis, correlation, hypothesis testing. |
| 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. | 1,2,3,4 | 1, | | LO - 2 : | determine the mean, mode, median, variance and standard deviation for the data set using the frequency table. | 1,2,3,4 | 1, | | LO - 3 : | draw the histogram and the other graphs for the data set. | 1,2,3,4 | 1, | | LO - 4 : | determine the simple linear regression model for the data set. | 1,2,3,4 | 1, | | LO - 5 : | test hypothesis for the mean. | 1,2,3,4 | 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 | | |
| Basic Concepts in Statistics, Statistical Series, Graphical Analysis of Statistical Series, Measures of Central Tendency and Variability, Bivariate Data, Simple Linear Regression Analysis, Correlation, Hypothesis Testing (Significance Check), The Chi-Square Test for Homogeneity and Independence, Hypothesis Testing for the Mean. |
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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 | Measures of central tendency | | | Week 6 | Measures of variability
| | | Week 7 | Skewness, kurtosis and deviating value | | | Week 8 | Measures of location and dispersion for qualitative data | | | Week 9 | Midterm exam | | | Week 10 | Frequency charts of bivariate qualitative and quantitative data | | | Week 11 | Simple linear regression analysis | | | Week 12 | Explained and unexplained variation, calculation of correlation coefficient | | | Week 13 | Introduction to hypothesis testing, first and second type of errors | | | Week 14 | Chi-square tests for homogeneity and Iindependence | | | Week 15 | One sample and two sample hypothesis tests for the mean | | | 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. | | | 4 | Spiegel, M. R. ve Stephens, L. J., 1988; İstatistik. Çev. Erdal Öney ve Nahit Töre. AÜ Basımevi, Ankara. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 1,5 | 50 | | End-of-term exam | 16 | | 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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