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STATISTICAL APPLICATIONS FOR SOCIAL SCIENCES

Course
STAT461 - STATISTICAL APPLICATIONS FOR SOCIAL SCIENCES
Department
Business Administration - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
5
T+P+L
3 + 0 + 0
Course Coordinator(s)
-
Prerequisite
-
Keywords

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

Week Topic
Week 1 The Science of Statistics
Week 2 The Science of Statistics
Week 3 Methods for Describing Data
Week 4 Methods for Describing Data
Week 5 Probability
Week 6 Probability
Week 7 Midterm Exam
Week 8 Midterm Exam
Week 9 Discrete Random Variables
Week 10 Discrete Random Variables
Week 11 continuous Random Variables
Week 12 Random Variables
Week 13 Sampling
Week 14 Sampling
Week 15 Final Exam

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. Students will be able to adopt theoretical and practical knowledge in a challenging work environment.
  2. P02 2. Students will be able to guide teamwork in intercultural and various international working environments.
  3. P03 3. Students will be able to obtain the communicative, conceptual and analytical skills necessary for conflict environments.
  4. P04 4. Students will be able to recognize the importance of basic competence to create a competitive advantage and achieve a success on a global scale.
  5. P05 5. Students will be able to integrate ethical and social responsible practices that are environmentally friendly and applicable both in business and personal life.
  6. P06 6. Students will be able to raise awareness about continuous improvement to increase business performance in professional life.
  7. P07 7. Students will be able to adopt and apply critical and strategic thinking together with research capabilities for organizational decisions.
  8. P08 8. Students will be able to use and manage the information technologies required for the contemporary business world.
  9. P09 9. Students will be able to have a knowledge of, at least, one foreign language at basic level in addition to English.
  10. P10 10. Students will be able to acquire effective teamwork skills.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 Average
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L19 - - - - - - - - - - -