STATISTICAL APPLICATIONS FOR SOCIAL SCIENCES

Course Description

The course aims to instruct students to use word, excel and statistical packages in an integrated approach at an advanced level. In this course students will be presenting their statistical applications on Power Point in a professional manner; using statistical capabilities to get simple percentages to complex analyses of variance, multiple regressions, and general linear models as well as to generate tabulated reports, charts and plots of distributions and trends. The course makes statistical analysis more accessible fort he beginner and more convenient for the experienced user.It offers a simple and efficient spreadsheet-like facility for entering data and browsing the workingdata file.

STATISTICAL APPLICATIONS FOR SOCIAL SCIENCES

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 Learning and applying the system of ideas regarding the economic thought and decision making
2. 02 Comprehending and being able to apply the cost-benefit principle,
3. 03 Having a clear idea about factors of production and production costs,
4. 04 Ability to apply opportunity cost, economic profit and production possibilities frontier concepts in problem solving
5. 05 Understanding and interpreting the demand and supply concepts in the market
6. 06 Ability to understand and evaluate the total utility and marginal utility concepts,
7. 07 Learning elasticity concept and being able to define the factors which affects the elasticity of demand and elasticity of supply.

Course Syllabus

Reference Books & Course Materials

1. 01 Mario F. Triola, (2015) Essentials of Statistics, Global Edition, 5th Edition Pearson

Learning Outcomes

1. L01 To assess the standard deviation and other measures of dispersion SOLO 5
2. L02 To predict the chances of happening and the elementary concept of probability theory SOLO 5
3. L03 To develop an understanding of the frequency distribution. SOLO 4
4. L04 To calculate the measurement of central tendency SOLO 2
5. L05 To summarise the data using graphical presentations and tables such as bar chart, pie charts, stem - leaf and frequency table SOLO 4
6. L06 To count the observation proportion under the normal curve, changes of scale, percentile and quartile. SOLO 2
7. L07 To define statistical applications for business and economics SOLO 2
8. L08 To classify grouped data with their interval classes SOLO 3
9. L09 By the end of the semester, students will be able to distinguish between the types of data in terms of the scales and the level of measurements, population, and sampling. To learn to calculate the central tendency, deviation and distribution of the observations and approximate the position of the values. In addition, the probability and chances that an event may happen will be theorized. SOLO 0
10. L10 To describe basic definitions about statistics SOLO 3
11. L11 To interpret the linear relationship between two interval scale variables by correlation coefficient 3 SOLO 3
12. L12 To formulate and interpret the regression equation and its coefficients SOLO 3
13. L13 Define statistical applications for business and economics. SOLO 3
14. L14 Develop an understanding on frequency distribution. SOLO 5
15. L15 Calcuate the measurement of central tendency SOLO 2
16. L16 Assess standarad deviation and other measures of dispersion SOLO 5
17. L17 Compute correlation coefficient and covarinace SOLO 3
18. L18 Discuss the chances that an event may happen or not. SOLO 5
19. L19 Define Basic rules such as addition rule, multiplication rules, conditional probabilities. SOLO 3

Program Outcomes

1. P01 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.
2. P02 Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
3. P03 Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
4. P04 Ability to devise, select, and use modern techniques and tools needed for analysing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively
5. P05 Ability to design and conduct experiments, gather data, analyse and interpret results for investigating complex engineering problems or discipline specific research questions
6. P06 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7. P07 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8. P08 Recognition of the need for lifelong learning ; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9. P09 Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
10. P10 Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11. P11 Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

Po-Lo Matrix