| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | 200401303101 | STATISTICAL ANALYSIS | Compulsory | 2 | 3 | 3 |
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| Level of Course Unit |
| First Cycle |
| Objectives of the Course |
| This course aims to introduce the main concepts of statistics to the student, have them basic knowledge and skills required for gathering, organizing, analyzing and interpreting data for research. |
| Name of Lecturer(s) |
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| Learning Outcomes |
| 1 | 1 Learners can explain the fields in which statistics issue. | | 2 | 2 Learners can define the concepts about statistics. | | 3 | 3 Learners can make the compilation and editing of datas. | | 4 | 4 Learners can interpret the graphics. | | 5 | 5 Learners can do computations related to measures of central tendency and dispersion. |
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| Mode of Delivery |
| Daytime Class |
| Prerequisites and co-requisities |
| None |
| Recommended Optional Programme Components |
| None |
| Course Contents |
| The concepts related to statistics include the acquisition of knowledge and skills related to collecting, organizing, analyzing and interpreting data for research subjects, descriptive statistics, which means collecting, summarizing, comparing and interpreting data. |
| Weekly Detailed Course Contents |
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| 1 | 1 Basic statistical concepts | | | | 2 | 2 Frequency Distributions, Histograms and Frequency Ranges | | | | 3 | 3 Measures of parametric central tendency | | | | 4 | 4 Measures of nonparametric central tendency | | | | 5 | 5 Measures of Parametric Dispersion | | | | 6 | 6 Measures of Nonparametric Dispersion | | | | 7 | 7 Moments, Skewness and Kurtosis Coefficients | | | | 8 | 8 MIDTERM EXAM | | | | 9 | 9 Probability Theory, Basic Concepts | | | | 10 | 10 Bayes' Theorem, Probability Distribution Table, Expected Value | | | | 11 | 11 Discrete Probability Distributions | | | | 12 | 12 Binomial Distribution, Poisson Distribution | | | | 13 | 13 Hypergeometric distribution | | | | 14 | 14 Normal Distribution, Standard Normal Curve Areas
| | | | 15 | 15 Approximation of Normalizing of Discrete Distributions. | | | | 16 | 16 Final | | |
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| Recommended or Required Reading |
| Statistics for Business and Economics, Newbold, Paul |
| Planned Learning Activities and Teaching Methods |
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| Assessment Methods and Criteria | |
| Midterm Examination | 1 | 100 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 40 | | End Of Term (or Year) Learning Activities | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | None |
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| Workload Calculation |
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| Midterm Examination | 1 | 20 | 20 |
| Final Examination | 1 | 20 | 20 |
| Attending Lectures | 2 | 20 | 40 |
| Individual Study for Mid term Examination | 1 | 10 | 10 |
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| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 3 | 2 | 5 | 4 | 4 | 3 | | LO2 | 3 | 3 | 3 | 3 | 4 | 3 | | LO3 | 3 | 4 | 3 | 4 | 4 | 4 | | LO4 | 4 | 2 | 4 | 4 | 4 | 3 | | LO5 | 5 | 3 | 4 | 4 | 4 | 3 |
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| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476
226 13 14 • e-mail: info@igdir.edu.tr
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