ISB544 Analysis of Variance

6 ECTS - 3-0 Duration (T+A)- 2. Semester- 3 National Credit

Information

Unit INSTITUTE OF NATURAL AND APPLIED SCIENCES
STATISTICS (MASTER) (WITH THESIS)
Code ISB544
Name Analysis of Variance
Term 2018-2019 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. SADULLAH SAKALLIOĞLU
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

To teach different methods used in the design of experiments and examine how these methods are connected to statistical models.

Course Content

Principles of experimental design; Analysis of variance models; One-way analysis of variance: Balanced case; Two-way analysis of variance: Balanced case; Analysis of variance: Unbalanced case; Analysis of covariance; Random effect models and mixed effect models

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Have the knowledge of the terms regarding the experimental and sampling units
LO02 Understand the basic logic of analysis of variance.
LO03 Determine how the level of the factor effects mean response
LO04 Perform parameter estimation and confidence interval
LO05 Perform hypothesis testing for analysis of variance models


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Have in-depth theoretical and practical knowledge about Probability and Statistics
PLO02 - They have the knowledge to make doctoral plans in the field of statistics.
PLO03 - Has comprehensive knowledge about analysis and modeling methods used in statistics.
PLO04 - Has comprehensive knowledge of methods used in statistics.
PLO05 - Make scientific research on Mathematics, Probability and Statistics.
PLO06 - Indicates statistical problems, develops methods to solve.
PLO07 - Apply innovative methods to analyze statistical problems.
PLO08 - Designs and applies the problems faced in the field of analytical modeling and experimental researches.
PLO09 - Access to information and do research about the source.
PLO10 - Develops solution approaches in complex situations and takes responsibility.
PLO11 - Has the confidence to take responsibility.
PLO12 - They demonstrate being aware of the new and developing practices.
PLO13 - He/She constantly renews himself/herself in statistics and related fields.
PLO14 - Communicate in Turkish and English verbally and in writing.
PLO15 - Transmits the processes and results of their studies clearly in written and oral form in national and international environments.
PLO16 - It considers the social, scientific and ethical values ​​in the collection, processing, use, interpretation and announcement stages of data and in all professional activities.
PLO17 - Uses the hardware and software required for statistical applications.


Week Plan

Week Topic Preparation Methods
1 Designing an experiment Source reading, examination of literature
2 One-way analysis of variance with fixed effects Source reading, examination of literature
3 Checking if the data fit model, parameter estimation, confidence intervals Source reading, examination of literature
4 One-way analysis of variance with random effects Source reading, examination of literature
5 Checking if the data fit the model, parameter estimation, confidence intervals Source reading, examination of literature
6 Balanced two-way factorial design with fixed effects Source reading, examination of literature
7 Balanced two-way factorial design with random effects Source reading, examination of literature
8 Mid-Term Exam Review the topics discussed in the lecture notes and sources
9 Unbalanced two-way factorial design with fixed effects Source reading, examination of literature
10 Parameter estimation, confidence intervals Source reading, examination of literature
11 Randomized Complete block design Source reading, examination of literature
12 Mixed models Source reading, examination of literature
13 Estimation and confidence intervals for variance components Source reading, examination of literature
14 Repeated measures designs Source reading, examination of literature
15 Analysis of variance table and F tests Source reading, examination of literature
16 Term Exams Review the topics discussed in the lecture notes and sources
17 Term Exams Review the topics discussed in the lecture notes and sources

Update Time: 28.11.2018 04:42