IEM761 Statistical Analysis

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

Information

Code IEM761
Name Statistical Analysis
Term 2023-2024 Academic Year
Term Fall and Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GÜLSEN KIRAL
Course Instructor
1


Course Goal / Objective

It is necessary to accurately analyze the data and interpret the results and evaluations of the examined case, which is very important in scientific research stage. In addition to this, businesses face many problems and they are waiting to be solved. Mostly, thanks to the results of the analyzed data, problems can be solved. This course aims to provide the students with the skills of gathering data correctly about the examined case, filtering them to be analyzed and analyzing the data and interpreting it by using SPSS, Minitab, SPLUS and choosing the suitable technique which is due to the aim. The students who take this lesson, have competence in solving the examined phenomenon like a researcher or academician.

Course Content

This lesson covers the concept of data and identify the data, choosing statistical analysis according to the research aim and in this context, descriptive statistics, tests of comparing two and more groups non-parametric tests, correlation and regression analysis, factor analysis, cluster analysis which are multivariable statistical analysis.

Course Precondition

There are no prerequisites.

Resources

Johnson, R. A. ve Wichern, D. W. (2002,2006). Applied Multivariate Statistical Analysis, Prentice-Hall.

Notes

Source books, statistical packages


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Uses the ability to apply knowledge of statistical analysis techniques.
LO02 Interprets data and evaluates problems.
LO03 Uses the ability to experiment and design.
LO04 Relates the problems in the related branch.
LO05 It uses the ability to apply point estimation and interval estimation.
LO06 Interprets statistical analysis.
LO07 Interprets hypothesis tests.
LO08 Evaluates the applications of dependent and independent hypotheses.
LO09 Evaluates the classifier tables.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explains contemporary concepts about Econometrics, Statistics, and Operation Research 3
PLO02 Bilgi - Kuramsal, Olgusal Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research 3
PLO03 Bilgi - Kuramsal, Olgusal Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences 2
PLO04 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 3
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 4
PLO07 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field that does not research 3
PLO08 Beceriler - Bilişsel, Uygulamalı Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution
PLO09 Beceriler - Bilişsel, Uygulamalı Searches for new approaches and methods to solve problems being faced 3
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 4
PLO11 Beceriler - Bilişsel, Uygulamalı Collects/analyzes data in a purposeful way 4
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Converts its findings into a master's thesis or a professional report in Turkish or a foreign language 3
PLO13 Beceriler - Bilişsel, Uygulamalı Develops solutions for organizations using Econometrics, Statistics, and Operation Research 1
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research 3
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team 2
PLO16 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study 3
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code 4
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form 3
PLO19 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values 3


Week Plan

Week Topic Preparation Methods
1 The concept of data and data collection techniques Reading the relavant parts in the source books Öğretim Yöntemleri:
Anlatım
2 Choosing the statistical technique for data analysis Reading the relavant parts in the source books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 Introduction to Minitab, Plus SPSS Package Programmes Reading the relavant parts in the source books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
4 Data processes on computer Reading the relavant parts in the source books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 computer applications Reading the relavant parts in the source books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Descriptive Statistics Reading the relavant parts in the source books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Tests for comparing two groups Reading the relavant parts in the source books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam Reading the relavant parts in the source books Ölçme Yöntemleri:
Yazılı Sınav
9 Variance Analysis Reading the relavant parts in the source books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Non Parametric Tests Reading the relavant parts in the source books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Homework presentation Reading the relavant parts in the source books Öğretim Yöntemleri:
Bireysel Çalışma
12 Linear Regression and Correlation Analyses Reading the relavant parts in the source books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Factor Analysis Reading the relavant parts in the source books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Cluster Analysis Reading the relavant parts in the source books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 presenting homework Reading the relavant parts in the source books Öğretim Yöntemleri:
Bireysel Çalışma
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 11.05.2023 04:49