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TR

BASIC STATISTICS-I

Course
STAT105 - BASIC STATISTICS-I
Department
Basic Sciences and Humanities
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
5
T+P+L
2 + 2 + 0
Course Coordinator(s)
Asst. Prof. Dr. Oluwasuyi Ayobami OBA
Prerequisite
-
Keywords

Course Description

This course aim to provide students elementary introduction to statistical reasoning, including sampling, elementary probability, statistical inference, and data analysis. Based on the first level of statistics in this course the aim is to prepare the students for more complex chapters such as hypothesis testing. Organizing data by frequency distributions and graphics, obtaining and interpreting descriptive statistics for the several distributions are the first step. Learning properties of normal distribution, transforming raw scores into standard scores, using standard scores in relation to norms of psychological tests constitute an important part of this course. Correlation and lineer regression analysis are the most basic analysis that will help students understanding the nature of statistical analysis.

BASIC STATISTICS-I

Evaluation Tools (Active Term)

Item Type Weight (%)
Quiz Quiz 15
Midterm Midterm 40
Final Final 45
Total 100

Course outcomes

  1. 01 1. Identify the main features of statistics.
  2. 02 2. Apply statistical methods in the problem-solving approach
  3. 03 3. Compute and interpret descriptive statistics using numerical and graphical techniques to the data through psychological and social research.
  4. 04 4. Identify and apply the basic cpncepts of probabity to the psychological and social research

Course Syllabus

Week Topic
Week 1 Course Overview, Syllabus Presentation, Basic Definitions
Week 2 Variable and measurement levels of variables
Week 3 Variable and measurement levels of variables & Frequency Distributions
Week 4 Variable and measurement levels of variables & Frequency Distributions
Week 5 Central Tendency & Dispersion
Week 6 Sample space, Probability and Probability Distributions
Week 7 Midterm week
Week 8 Midterm week & Review
Week 9 Normal Distribution and z scores
Week 10 z scores and their applications
Week 11 Correlation analysis
Week 12 Simple Linear Regression analysis
Week 13 Review for final exam
Week 14 Final Exams
Week 15 -

Reference Books & Course Materials

  1. 01 Runyon R.P., Coleman, K.A. And Pittenger, D.L. (2000). Fundamentals of Behavioral Statistics, 9th edition, McGraw-Hill Companies.
  2. 02 Agresti, A. and Finlay, B. (2009). Statistical Methods for the Social Sciences, 4th edition, Pearson Prentice Hall.
  3. 03 Dancey, C.P. and Reidy, J. (2007). Statistics without Maths for Psychology, 4th edition, Pearson Prentice Hall.
  4. 04 Büyüköztürk, Ş., Çokluk, Ö. and Köklü, N. (2011). Sosyal Bilimler İçin İstatistik, 9. baskı, Pegem akademi

Learning Outcomes

  1. L01 1. Identify the main features of statistics.
  2. L02 2. Apply statistical methods in the problem-solving approach
  3. L03 3. Compute and interpret descriptive statistics using numerical and graphical techniques to the data through psychological and social research.
  4. L04 4. Identify and apply the basic cpncepts of probabity to the psychological and social research

Program Outcomes

  1. P01 Demonstrate comprehensive knowledge of key concepts across the breadth of effective application and use of MIS and innovative information technologies in organizations.
  2. P02 Demonstrate autonomy and responsibility in managing MIS projects and improving organizational processes
  3. P03 Demonstrate comprehensive understanding of appropriate enterprise frameworks, theories from the MIS to research and assess contemporary issues in the field and related allied fields and disciplines
  4. P04 Apply MIS knowledge to facilitate the acquisition, development, deployment, and management of information systems
  5. P05 Apply MIS knowledge to the exploitation of opportunities created by information technology innovations ensuring the alignment between MIS strategy and organizational strategy
  6. P06 Demonstrate ethical reasoning in relation to crucial MIS issues such as privacy, information security, and ethical use of information
  7. P07 Apply appropriate technologies and techniques to the collection and analysis of organizational and environmental data to facilitate evidence-based decision-making
  8. P08 Analyse organizational data to accurately identify organizational problems and propose solutions using MIS
  9. P09 Apply effective communication skills consistent with the professional environment
  10. P10 Apply effective collaboration skills consistent with the professional environment

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 Average
L01 - - - - - - - - - - -
L02 - - - - - - - - - - -
L03 - - - - - - - - - - -
L04 - - - - - - - - - - -