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TR

STATISTICS

Course
STAT203 - STATISTICS
Department
Basic Sciences and Humanities
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
4
T+P+L
3 + 0 + 0
Course Coordinator(s)
Asst. Prof. Dr. Oluwasuyi Ayobami OBA
Prerequisite
-
Keywords

Course Description

The main purpose of this course is to introduce to fundamentals of probability theory and basic statistical concepts. Students will learn the brief information about statistics and graphical representations of different types of data, measures of central tendency and dispersion (variance and standard deviation) are some of the main topics of statistics. This course will also help the students to understand basic probability concepts and to achieve this aim; the sets and set operations, counting techniques like multiplication rule, permutation and combination, details about events and sample spaces, tree diagrams, statistical dependence and independence, main information about the random variables are given.

STATISTICS

Evaluation Tools (Active Term)

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

Course outcomes

  1. 01 Distinguish between different types of data
  2. 02 Draw the graph for summarising data sets
  3. 03 Interpret examples of methods for summarising data sets, including common graphical tools and summary statistics
  4. 04 Evaluate measures of central tendeny and Interpret standart deviation
  5. 05 Apply counting techniques, combination and permutation, in probability practices
  6. 06 Find probabilities of single events, complementary events and the unions and intersections of collections of events
  7. 07 -

Course Syllabus

Week Topic
Week 1 Introduction to statistics
Week 2 Qualitative&Quantitative Data
Week 3 Chart types (bar chart/ pie charts for qualitative data, dot plots, stem and leaf display, Histogram for etc)
Week 4 Frequency Distributions, Histogram,
Week 5 Measures of Central Tendency and Variation (Mean, Median, Mode)
Week 6 Measures of Central Tendency and Variation (Range, Variance, Standard Deviation)
Week 7 Interpreting standart deviation
Week 8 Interpreting standart deviation - Review
Week 9 Introduction to Probability and Set theory
Week 10 Set operations
Week 11 Counting techniques (Permutation and Combination)
Week 12 Counting techniques (Multiplication Rule)
Week 13 Dependent and Independent Events
Week 14 Random variable& discrete probability distribution
Week 15 Random variable& discrete probability distribution- review

Reference Books & Course Materials

  1. 01 Statistical Methods for the Social Sciences
  2. 02 Applied Mathematics for Business, Economic and Social Science

Learning Outcomes

  1. L01 Distinguish between different types of data
  2. L02 Draw the graph for summarising data sets
  3. L03 Interpret examples of methods for summarising data sets, including common graphical tools and summary statistics
  4. L04 Evaluate measures of central tendeny and Interpret standart deviation
  5. L05 Apply counting techniques, combination and permutation, in probability practices
  6. L06 Find probabilities of single events, complementary events and the unions and intersections of collections of events

Program Outcomes

  1. P01 Has knowledge of social service application areas (health, social welfare services, education, social security, civil society, local government).
  2. P02 Has knowledge of social work theories (system, ecology, empowerment theory).
  3. P03 Has knowledge of human development and social environment.
  4. P04 Use knowledge of communication skills (with individuals, families, groups and different social groups).
  5. P05 Use knowledge of management and management processes (management of private and public social service institutions and organizations)
  6. P06 Apply knowledge of research methods and techniques in social work.
  7. P07 Has the ability to perform planned change process (linking, diagnosis and evaluation, planning, implementation, evaluation, termination and monitoring of applications) by considering similarities and differences for all levels of applicants.
  8. P08 Social service application areas (Health, education, social security, civil society, local government), social service theories (system, ecology, empowerment theory), human development and social environment, communication (with individuals, families, groups and different social groups) apply management and management processes (management of private and public social service institutions and organizations), research methods and techniques, professional ethics, principles and values, and the ability to practice social work with different client groups.
  9. P09 Has the ability to distinguish and collect appropriate information for social investigation, evaluation and report preparation
  10. P10 Has the ability to interpret research results and professional literature.
  11. P11 Has the ability to develop inter-institutional relations, communication and joint services.
  12. P12 Acts in accordance with professional ethics, norms and standards that determine duties and rights related to social work profession.
  13. P13 It adopts social justice and rights based approach within the framework of social, scientific, cultural and professional values.
  14. P14 Develop an understanding of individual, family, group, institution, community, community and global practices in order to improve social functionality and facilitate social change
  15. P15 Becomes a model to the society with knowledge, skills, values ​​and attitudes and adopts the understanding of lifelong learning.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 P11 P12 P13 P14 P15 Average
L01 - - - - - - - - - - - - - - - -
L02 - - - - - - - - - - - - - - - -
L03 - - - - - - - - - - - - - - - -
L04 - - - - - - - - - - - - - - - -
L05 - - - - - - - - - - - - - - - -
L06 - - - - - - - - - - - - - - - -