Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
STATISTICS AYBS201 3. Semester 0 + 0 0 5.0

Prerequisites None

Language of Instruction Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Mode of delivery Computer aided oral presentation
Course Coordinator
Instructors ANKUZEF ANKUZEF
Assistants
Goals To give important concepts in Statistics, to teach summary of data, descriptive statistics, frequency distributions, provide information about confidence intervals, hypothesis testing, and contingency tables, to teach the basic analysis that important in statistics, subjects learned in the classroom and on the computer to do the practice.
Course Content Some tools and computation methods related with probability and statistical theory
Learning Outcomes 1) Learns the meaning of statistics
2) Gets knowledge about the concepts that are important in statistics
3) Recognizes the normal, standard normal, t, F and chi-square distributions
4) Learns to acquire and interpret confidence intervals.
5) Learns to establish a hypothesis, testing and interpret results.
6) The structure of contingency tables, chi-square analysis in which situations and understand how to implement.
7) Informed about analysis of variance, linear regression analysis, correlation analysis and non-parametric tests.
8) Applies subjects learned in the classroom using the statistical package program and comments.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Continuous random variables and probability density functions. Lecture; Question Answer; Problem Solving; Discussion

 Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
2. Week Expected values, variances, quantiles and moment generating functions of continuous random variables. Lecture; Question Answer; Problem Solving; Discussion

 Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
3. Week Uniform, exponential and gamma distributions and their usages as mode. Lecture; Question Answer; Problem Solving; Discussion

 Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
4. Week Normal distribution and its places of usages as model. Lecture; Question Answer; Problem Solving; Discussion

 Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
5. Week Distributions of transformed random variables. Lecture; Question Answer; Problem Solving; Discussion

 Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
6. Week Random vectors and its probability distributions, expected values, moments and moment generating functions of random vectors. Lecture; Question Answer; Problem Solving; Discussion

 Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
7. Week Covariance, correlation coefficient and independence of random variables. Lecture; Question Answer; Problem Solving; Discussion

 Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
8. Week Midterm exam

9. Week Markov and Chebyshev inequalities, Bernoulli law of large numbers. Lecture; Question Answer; Problem Solving; Discussion

 Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
10. Week Distributions of sum of iid random variables and the central limit theorem. Lecture; Question Answer; Problem Solving; Discussion

 Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
11. Week The concept of sample and statistics, sample mean, sample variance, sample quantiles and the model Lecture; Question Answer; Problem Solving; Discussion

 Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
12. Week Description of observations, bar charts, steam-leaf charts, box plot, histogram and frequency polygon. Lecture; Question Answer; Problem Solving; Discussion

 Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
13. Week Introduction to parameter estimation. Lecture; Question Answer; Problem Solving; Discussion

 Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
14. Week Introduction to hypothesis tests. Lecture; Question Answer; Problem Solving; Discussion

 Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
15. Week Preparation for final exam Lecture; Question Answer; Problem Solving; Discussion

 Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
16. Week Final exam


Sources Used in This Course
Recommended Sources
Apaydın, A., Kutsal, A., Atakan, C., 1994, Uygulamalı İstatistik, Klavuz Paz. Tic. ve San. Ltd. Şti.
Demirhan H., Hamurkaroğlu C., 2011, İstatistiksel Yöntemlere Giriş, H.Ü. yayınları.
Freund, J.E., 2004, Modern Elementary Statistics, Eleventh Edition, Prentice Hall.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5DK6DK7DK8
PY1555555555
PY2555555555
PY3555555555
PY4555555555
PY5555555555

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 4
Work Hour outside Classroom (Preparation, strengthening) 14 2
Homework 4 1
Midterm Exam 1 2
Time to prepare for Midterm Exam 1 18
Final Exam 1 2
Time to prepare for Final Exam 1 18
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload