STATISTICAL APPLICATIONS FOR SOCIAL SCIENCES
- Course
- BUSN461 - STATISTICAL APPLICATIONS FOR SOCIAL SCIENCES
- Department
- Master of Business Administration - English - Master
- Course Type
- Scientific Preparation
- Status
- Required
- Language
- English
- Credit
- 0
- ECTS
- 0
- T+P+L
- 0 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
- Keywords
- -
Course Description
-
STATISTICAL APPLICATIONS FOR SOCIAL SCIENCES
Evaluation Tools (Active Term)
No evaluation items have been defined.
Course outcomes
- 01 Learning and applying the system of ideas regarding the economic thought and decision making
- 02 Comprehending and being able to apply the cost-benefit principle,
- 03 Having a clear idea about factors of production and production costs,
- 04 Ability to apply opportunity cost, economic profit and production possibilities frontier concepts in problem solving
- 05 Understanding and interpreting the demand and supply concepts in the market
- 06 Ability to understand and evaluate the total utility and marginal utility concepts,
- 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
- 01 Mario F. Triola, (2015) Essentials of Statistics, Global Edition, 5th Edition Pearson
Learning Outcomes
- L01 introduction about data, types of sampling, measurements levels,
- L02 students will learn the methods that data can be presented such as bar chart, pie charts,stem and leaf....frequency and percentage table
- L03 students will learn how to measure the data distributuin through the the measurements of central tendency
- L04 how to draw histogram without using compuetr software, the estimation of (sample) mean median, mode, standard deviation, root mean square
- L05 how to approximate the area under the normal curve, change of scale, percentile
- L06 variables, introduction to the chance errors, outliers, bias,
- L07 students will learn how to read graphs and plotting lines and points, slope and intercept
- L08 What are chances that an event may happen or not, coonditional probabilities, multiplication rules
- L09 probability and independence, binomial model
- L10 By the end of the semster students will be able to distinguish the type of data in terms of level of measurements, sampling, the measurement of central tendency, deviation and distribution and and chances of errors and bias. What iwould be the probaility of something happens and under what circumstannces and condions, is that dendendent on the occurance of another event(s)or not.
Program Outcomes
- P01 PO1: Become knowledge workers who whose focus will be on continuous learning as their competitive advantage by learning new methods and skills which they can use both in their lives and workplace, especially in health sector.
- P02 PO2: Developed various skills and acquired the necessary knowledge which are required to keep improving themselves by working independently.
- P03 PO3: Become among the best professionals in the health care industry due to their developed skills and gathered knowledge which will set them apart from the competition.
- P04 PO4: Been able to apply appropriate methods and analytical procedures to analyze health-related issues faced by the organizations and empirically investigate and propose creative and valid solutions based on this analysis.
- P05 PO5: Learnt to use technology in class and research in an ethical and secured manner by implementing these skills in their professional and private lives.
- P06 PO6: Gained the ability to apply theories and use appropriate management tools and methods collaboratively in order to develop strategic decisions which are specific to unique health management contexts.
- P07 PO7: Practiced and mastered communicating effectively, both verbally and in writing, with individuals from different cultures within and outside the academia and organizations.
- P08 PO8: Been able to implement the learnt skills and knowledge, by developing research-based solutions to current regional and global health issues.
- P09 PO9: Developed enthusiasm and awareness about the environment by associating health and management theories with ethical and environmental approaches in order to further study and investigate critical health managerial issues.
Po-Lo Matrix
| LO | P01 | P02 | P03 | P04 | P05 | P06 | P07 | P08 | P09 | Average |
|---|---|---|---|---|---|---|---|---|---|---|
| L01 | - | - | - | - | - | - | - | - | - | - |
| L02 | - | - | - | - | - | - | - | - | - | - |
| L03 | - | - | - | - | - | - | - | - | - | - |
| L04 | - | - | - | - | - | - | - | - | - | - |
| L05 | - | - | - | - | - | - | - | - | - | - |
| L06 | - | - | - | - | - | - | - | - | - | - |
| L07 | - | - | - | - | - | - | - | - | - | - |
| L08 | - | - | - | - | - | - | - | - | - | - |
| L09 | - | - | - | - | - | - | - | - | - | - |
| L10 | - | - | - | - | - | - | - | - | - | - |