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 1- To have advanced theoretical and practical knowledge supported by textbooks, application tools and other resources including current information in the field of Accounting and Finance.
2. P02 2- To be able to use advanced theoretical and practical knowledge acquired in the field of Accounting and Finance.
3. P03 3- To be able to interpret and evaluate data, identify problems, analyze and develop solutions based on research and evidence by using advanced knowledge and skills acquired in the field of Accounting and Finance.
4. P04 4- To be able to take responsibility as an individual and a team member in order to solve complex and unpredictable problems in accounting and finance applications.
5. P05 5- To be able to plan and manage activities for the development of employees under the responsibility of a project.
6. P06 6- To be able to determine the learning requirements in the field of Accounting and Finance and to direct their learning.
7. P07 7- To be able to inform people and institutions about issues related to the field of accounting and finance, and to be able to transfer their ideas and solution proposals in writing and orally.
8. P08 8- To be able to use information and communication technologies together with computer software at the European Computer Driving License Advanced Level required by the field of Accounting and Finance.
9. P09 9- To act in accordance with social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the results related to the field of accounting and finance.

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