Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | MUH1004 | STATISTICS | Elective | 1 | 2 | 4 |
|
Level of Course Unit |
Short Cycle |
Objectives of the Course |
The course aims to provide the students to equip with the basic concepts of statistics and so help them use statistical methods in various applications. |
Name of Lecturer(s) |
Saffet Akdağ |
Learning Outcomes |
1 | Knows the basic statistical concepts. | 2 | Statistical data reads and comments. | 3 | Makes prediction about the future by using past figures. | 4 | Explains and comments meaning and classification of the numbers | 5 | Applies to real life problems by establishing a relationship between the figures |
|
Mode of Delivery |
Formal Education |
Prerequisites and co-requisities |
None |
Recommended Optional Programme Components |
None |
Course Contents |
An introduction to the science of statistics for business and economics. Basic statistical contepts, data types and data collection methods, sensitive averages, possibility concept and applications to simple daily life problems, permutations and probability distribution are the main topics covered. |
Weekly Detailed Course Contents |
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1 | Basic Concepts, Mass, Volume, Data Collection, Data Editing | | | 2 | Basic series, the frequency series, grouped-frequency series | | | 3 | Frequency Distributions, Histograms and Frequency Ranges | | | 4 | Parametric Measures of central tendency (average) Arithmetic Mean, | | | 5 | Parametric Measures of central tendency , Geometric Mean, mean square, harmonic mean, | | | 6 | Nonparametric Measures of central tendency (average) Mode, | | | 7 | Nonparametric Measures of central tendency (average) Median | | | 8 | Midterm Examination | | | 9 | Parametric Measures of Dispersion, Mean Deviation, Standard Deviation | | | 10 | Parametric Measures of Dispersion, Variance | | | 11 | Probability problems | | | 12 | Correlation Analysis, Linear Correlation, Correlation Coefficient Calculation | | | 13 | Regression Analysis, Linear Regression Equation Calculation Methods | | | 14 | Regression Analysis, Linear Regression Equation Calculation Methods | | | 15 | Indeks numbers | | | 16 | Final Examination | | |
|
Recommended or Required Reading |
İstatistik, Bülent Yılmaz, Nobel Yayıncılık; -İstatistik, Burhan ÇİL, Detay Yayıncılık |
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 | | Work Placement(s) | None |
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Workload Calculation |
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Midterm Examination | 1 | 1 | 1 |
Final Examination | 1 | 2 | 2 |
Makeup Examination | 1 | 1 | 1 |
Attending Lectures | 14 | 2 | 28 |
Self Study | 14 | 2 | 28 |
Individual Study for Homework Problems | 10 | 2 | 20 |
Individual Study for Mid term Examination | 2 | 5 | 10 |
Individual Study for Final Examination | 2 | 8 | 16 |
Homework | 14 | 1 | 14 |
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Contribution of Learning Outcomes to Programme Outcomes |
LO1 | | | | | | 5 | | | | | | | | | LO2 | | | | | | 5 | | | | | | | | | LO3 | | | | | | 5 | | | | | | | | | LO4 | | | | | | 5 | | | | | | | | | LO5 | | | | | | 5 | | | | | | | | |
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Yozgat Bozok University, Yozgat / TURKEY • Tel (pbx): +90 354 217 86 01 • e-mail: uo@bozok.edu.tr |