Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Statistics
  • Course Structure Diagram with Credits
  • Statistics II
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İST130 - Statistics II
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 4+0
ECTS 6.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ ÇİĞDEM KALATHILPARMBIL
Mode of Delivery FACE TO FACE
Prerequisites NONE
Courses Recomended NONE
Recommended Reading List * McClave, J.T. and Sincich, T. (2013). Statistics, Pearson Education.* Devore, J. L. (2011). Probability and Statistics for Engineering and the Sciences (Eigth edition). Cengage learning.* Johnson, R. A. and Bhattacharyya, G.K. (2009). Statistics: principles and methods (Sixth edition). John Wiley \\& Sons.* Moore, D. S., McCabe, G. P. and Craig, B. A. (2012). Introduction to the Practice of Statistics.* David R. Anderson, Dennis J. Sweeney and Thomas A. Williams, Statistics for Business and Economics, 11th Edition.* Peck, R., Olsen, C. and Devore, J. L. (2015). Introduction to statistics and data analysis. Cengage Learning.* Newbold, P., Carlson, W. and Thorne, B. (2013). Statistics for business and economics. Pearson.
Assessment methods and criteria MIDTERMPROJECTQUIZFINAL
Work Placement NONE
Sustainability Development Goals Quality Education , Industry, Innovation and Infrastructure , Partnerships for Purposes

Content

Weeks Topics
Week - 1 Sampling, sampling distribution, standard error.
Week - 2 Sampling distribution of the sample mean and central limit theorem.
Week - 3 Confidence intervals based on a single sample.
Week - 4 Confidence intervals based on a single sample.
Week - 5 Hypothesis testing: Basic concepts, error probabilities, power of the test and p-value.
Week - 6 Hypothesis testing for one population parameter: z and t tests
Week - 7 Tests for one population variance and proportion.
Week - 8 Comparing two population means based two independent samples.
Week - 9 Comparing two population means based two independent samples.
Week - 10 Comparing two population variances and proportions based on independent samples.
Week - 11 One-way ANOVA.
Week - 12 Simple linear regression: LS estimation.
Week - 13 Simple linear regression: Confidence intervals and hypothesis testing.
Week - 14 Coefficient of determination and correlation coefficient.

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Demonstration
  • Competences
  • Rational
  • Questoning
  • Follow ethical and moral rules
  • Effective use of a foreign language
  • Work in teams
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management
  • Organization and planning
  • Elementary computing skills
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 25
2.Midterm Exam 1 25
Homework 1 10
Final Exam 1 40
Toplam (%) 100
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