Akademik Dersler - Tanıtım

Course Introduction Information


Code - Course Title	İST129 - Statistics I
Course Type	Required Courses
Language of Instruction	İngilizce
Laboratory + Practice	4+0
ECTS	6.0
Course Instructor(s)	PROFESÖR DOKTOR BERNA YAZICI
Mode of Delivery	FACE TO FACE
Prerequisites	NONE
Courses Recomended	NONE
Required or Recommended Resources	* 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.
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

Content

Weeks	Topics
Week - 1	Basic notions of the statistics: Population, sample, data set, experimental unit, variable.
Week - 2	Basic notions of statistics: Types of variable, scale of measurements, data collection methods.
Week - 3	Grapgical display of the data.
Week - 4	Location measures.
Week - 5	Measures for variability.
Week - 6	Quantiles of the data, interquartile range, box plot.
Week - 7	Basics of probability.
Week - 8	Conditional probability and independency.
Week - 9	Notion of discrete distribution, probability distribution, expectation and variance of a discrete distribution.
Week - 10	Binomial and Poisson distributions.
Week - 11	Notion of continuous distribution, cumulative distribution function, probability calculation for continuous distribution.
Week - 12	Standard normal distribution and z table.
Week - 13	Normal distribution and its applications.
Week - 14	Normal distribution approximation to Binomial distribution.

Learning Activities and Teaching Methods

Teaching Methods
Lecture
Discussion
Question & Answer
Demonstration
Competences
Questoning
Eleştirel düşünebilme
Abstract analysis and synthesis
Problem solving
Applying theoretical knowledge into practice
Elementary computing skills

Assessment Methods

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	20
2.Midterm Exam	1	20
Final Exam	1	60
Toplam (%)		100