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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 Create a user interface in a contemporary object-oriented language to allow users to access business data
  2. P02 Identify and analyze user needs and take them into account in the selection, creation, integration, evaluation and administration of computing-based systems
  3. P03 Analyze common business functions and identify, design, and develop appropriate information technology solutions
  4. P04 Design and develop software solutions for contemporary business environments by employing appropriate problem-solving strategies
  5. P05 Configure and administer database server to support contemporary business environments.
  6. P06 Administer or mange a relational database for a small to medium size company
  7. P07 Be able to effectively integrate IT-based solutions into the user environment
  8. P08 Understand professional, ethical, legal, security and social issues and responsibilities
  9. P09 Be able to apply effective communication skills consistent with the professional environment
  10. P10 Be able to apply effective collaboration skills in teamwork consistent with the professional environment

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 Average
L01 - - - - - - - - - - -
L02 - - - - - - - - - - -
L03 - - - - - - - - - - -
L04 - - - - - - - - - - -
L05 - - - - - - - - - - -
L06 - - - - - - - - - - -