Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | 0100104105 | APPLIED STATISTICS | Compulsory | 2 | 4 | 5 |
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Level of Course Unit |
First Cycle |
Objectives of the Course |
After completing this course, student will be able to;
- improve his/her knowledge and skills on basic statistics, descriptive statistics, common statistical distributions and their properties, simple correlation and regression, sampling distributions, error types, test of hypothesis for dependent and independent group means
- solve problems related to these subjects by reflecting on his/her experiences,
develop adequate course plans.
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Name of Lecturer(s) |
Yrd. Doç. Dr. Ecevit EYDURAN |
Learning Outcomes |
1 | Assignments, discussions both as individuals and as part of a group, problem-based learning. | 2 | Students will learn to planning and conduct a scientific investigation. | 3 | Students will learn the regression and correlation analysis | 4 | Students will learn the analysis of variance | 5 | The datas obtained from results of research are learned the summarized with the tables and graphs. |
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Mode of Delivery |
Daytime Class |
Prerequisites and co-requisities |
None |
Recommended Optional Programme Components |
None |
Course Contents |
1- Basic concepts in Statistics
2- Frequemcy Tables and Graphical Presentation of Data
3- Measures of Central Tendency and Variability
4- Probability Distributions (Binomial Distribution, Poisson Distribution and Normal Distribution)
5- Probability Distributions (Binomial Distribution, Poisson Distribution and Normal Distribution)
6- Sampling Methods
7- Point Estimation and Confidence Interval Estimation
8- midterm exam
9- The tests with the Z and t Distribution
10- The tests with the X2 (Chi-square) Distribution
11- Regression Analysis
12- Correlation Analysis
13- One-Way Analysis of Variance
14- The Randomized Block Design
15- Multiple Comparison Tests of Means
16- Final exam
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Weekly Detailed Course Contents |
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1 | Scaling, types of data, discontinuous variables, continuous variables | | | 2 | Frequency distributions tables
. Graphics for continuous variables (polygon and histogram
| | | 3 | Descriptive statistics | | | 4 | Location measurements (central tendency measurements)
Variation measurement
| | | 5 | Location measurements (central tendency measurements)
Variation measurement
| | | 6 | Descriptive statistics for frequency
Distributions tables
| | | 7 | Descriptive statistics for frequency
Distributions tables
| | | 8 | Correlation
b. Regression
| | | 9 | Sampling distributions and hypothesis tests | | | 10 | Student t test for two independent groups
Paired t test for two dependent groups
| | | 11 | Student t test for two independent groups | | | 12 | Student t test for two independent group | | | 13 | Introduction to nonparametric methods | | | 14 | Proportion tests | | | 15 | | | | 16 | | | |
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Recommended or Required Reading |
Sokal, R. R. and Rohlf, F. J. 1995. Biometry. 3rd edition. W. H. Freeman and Co. , New York, USA.
2. Zar, J. H. 1999. Biostatistical Analysis, 4th edition, Prentice Hall Upper Saddle River, New Jersey, USA.
3. Steel, R. G. D., Torrie, J. H. and Dickey, D. A. 1997. Principles and Procedures of Statistics: a Biometrical Approach. WCB McGraw-Hill Companies, New York, USA.
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Planned Learning Activities and Teaching Methods |
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Assessment Methods and Criteria | | 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 | 1 | 1 |
Laboratory | 1 | 40 | 40 |
Problem Solving | 1 | 40 | 40 |
Discussion | 1 | 40 | 40 |
Question-Answer | 1 | 28 | 28 |
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Contribution of Learning Outcomes to Programme Outcomes |
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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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