Information Package

GMS477

STATISTICS

Course Code
GMS477
Semester
-
Theory+Practice
2 + 0
ECTS
3
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS3
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Knows sampling methods.
  2. Knows the difference between sample and population.
  3. Calculate descriptive statistics.
  4. Can edit and analyze the data set.
  5. Determine sample size.
  6. Can create confidence interval.
  7. Define and test statistical hypotheses.
  8. Knows the stages of hypothesis testing.
  9. Define statistical problems and propose solutions.
  10. Solve current problems by using statistical methods.
  11. Use SPSS program.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionIn this course, basic statistical concepts and methods are taught with special examples and applications.
Course Contents
WEEK TOPICS
1st Week Introduction to statistics
2nd Week Data collection and classification of data
3rd Week Descriptive statistics
4th Week Probability
5th Week Normal distribution
6th Week Sample distribution
7th Week Confidence intervals
8th Week Midterm
9th Week Creating and editing data sets - SPSS Lab
10th Week Frequency distribution, graphs, descriptive statistics-SPSS Lab
11th Week Single sample hypothesis tests-SPSS Lab
12th Week Two-sample hypothesis tests: ANOVA-SPSS Lab
13th Week Cross-tabulation, chi-square tests, non-parametric hypothesis tests-SPSS Lab
14th Week Correlation and regression-SPSS Lab
15th Week Final Exam
Recommended or Required Reading1. Berenson, M., Levine, D., Kerehbiel, T. & Stephan, D. (2011). Basic Business Statistics with MyMathLab Global, Global Edition, 12/E Prentice Hall.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Questions/Answers
  • Problem Solving
  • Practice
  • Presentation
  • Project
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Total(%) 40
Contribution of In-term Studies to Overall Grade(%) 40
Contribution of Final Examination to Overall Grade(%) 60
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz
Individual or group work 14 1 14
Preparation for Final exam 1 18 18
Course hours 14 3 42
Preparation for Midterm exam 1 15 15
Laboratory (including preparation)
Final exam 1 2 2
Homework 1 5 5
Total Work Load98
Total Work Load / 30 (h)3.26
ECTS Credit of the Course3
Language of InstructionTurkish
Work Placement(s)No
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