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TR

STATISTICS

Course
STAT203 - STATISTICS
Department
Basic Sciences and Humanities
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
6
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 the 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 Becoming aware of sufficient theoretical knowledge in basic engineering and agricultural science
  2. P02 Having sufficient theoretical knowledge in basic agricultural production especially in pomology, viticulture, olericulture, floriculture and agronomy, and their breeding
  3. P03 Being well equiped with practical experiences in agriculture
  4. P04 Finding the source of environmental, biotic, abiotic, technical and economical problems in agricultural crops which reduce yield and quality, and create solutions to related problems
  5. P05 Defining, classifying and naming cultivated crop plants and knowing how to manage them
  6. P06 Breeding of horticultural and field crops, developing new cultivars and producing propagation materials of new developed varieties
  7. P07 Applying up-to-date methods and techniques for preserving genetic resources and environment for sustainable use in agricultural commodities
  8. P08 Evaluating, asseying and analyzing the changes in cultivation of horticultural and agronomic crops in respect to irrigation, fertilization, defining pests and diseases and after postharvest handling
  9. P09 Establishing and managing orchards, vineyards and field crop productions and greenhouse operations
  10. P10 Obtaining data in horticulture and field crops along with researching, considering, recording, consulting and expert abilities, project writing and applying
  11. P11 Identifying different roles in enchancing individual abilities and skills beside taking responsibilities, participations in team works under any given conditions
  12. P12 Easily accessing to appropriate information and thinking analytically in their interested area and subjects. They can do accurate timing and planning in agricultural productions in year round. They think analytically, prepare questionaries, have an exploratory and creative vision and use the obtained knowledge for the benefit of farmers and societies
  13. P13 Having ability to transfer information and also able to easily communicate with the people in the field at different levels. They have self - confidence and self- improvement skills as well

Po-Lo Matrix

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