ECMS407 Applied Statistical Analysis

5 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Code ECMS407
Name Applied Statistical Analysis
Term 2022-2023 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. HÜSEYİN GÜLER
Course Instructor Dr. Öğr. Üyesi SEMİN PAKSOY (A Group) (Ins. in Charge)


Course Goal / Objective

The purpose of this course is to bring the knowledge of how to make and interpret essential statistical analysis.

Course Content

In this lesson in addition to entering and editing data with SPSS, descriptives, graphs, t tests, ANOVA, crosstabs and coefficient of relationships, correlation, regression and reliability analysis with SPSS will be covered.

Course Precondition

None

Resources

Using SPSS for Windows and Macintosh, Analyzing and Understanding Data, Sixth Edition by Samuel B. Green and Neil J. Salkind, 2012

Notes

Statistics for Business and Economics, Eighth Edition by Paul Newbold, William L. Carlson, and Betty Thorne, 2013


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains the usage of statistical methods in a research
LO02 Chooses the appropriate statistical method based on the properties of data
LO03 Creates a data file in SPSS
LO04 Makes basic transformations and calculations on a data file
LO05 Uses SPSS to calculate descriptive statistics
LO06 Interprets results of descriptives statistics obtained with SPSS
LO07 Draws the appropriate graph for a data with SPSS
LO08 Interprets the graph that is drawn with SPSS
LO09 Performs one and two-sample t tests with SPSS
LO10 Interprets results of one and two-sample t tests obtained with SPSS
LO11 Performs one and two-way variance anaylsis with SPSS
LO12 Interprets results of one and two-way variance analysis obtained with SPSS
LO13 Creates a cross-table to test the independency of variables with SPSS
LO14 Discriminates appropriate coefficient of relationship for different measurement levels
LO15 Performs a simple linear regression analysis with SPSS
LO16 Interprets findings of simple linear regresion analysis that is performed with SPSS
LO17 Calculates the reliability of a scale with SPSS
LO18 Interpretes the reliability of a scale that is calculated with SPSS


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the basic concepts and theorems in the fields of Econometrics, Statistics and Operations research 3
PLO02 Bilgi - Kuramsal, Olgusal Acquires basic Mathematics, Statistics and Operation Research concepts 4
PLO03 Bilgi - Kuramsal, Olgusal Describes the necessary concepts of Business
PLO04 Beceriler - Bilişsel, Uygulamalı Equipped with the foundations of Economics, and develops Economic models
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 4
PLO06 Beceriler - Bilişsel, Uygulamalı Has the ability to analyze/interpret at the conceptual level to develop solutions to problems
PLO07 Beceriler - Bilişsel, Uygulamalı Collects/analyses data 5
PLO08 Bilgi - Kuramsal, Olgusal Interprets the results analyzed with the model 4
PLO09 Beceriler - Bilişsel, Uygulamalı Combines the information obtained from different sources within the framework of academic rules in a field which does not research
PLO10 Beceriler - Bilişsel, Uygulamalı It develops traditional approaches, practices and methods into new working methods when it deems necessary
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team
PLO12 Yetkinlikler - Öğrenme Yetkinliği In addition to herself/himself professional development, constantly improves in scientific, cultural, artistic and social fields in line with interests and abilities
PLO13 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it follows the current developments in the field / constantly renews itself
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research 5
PLO15 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses Turkish and at least one other foreign language, academically and in the business context
PLO16 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
PLO17 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on current economic and social issues
PLO18 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values


Week Plan

Week Topic Preparation Methods
1 Motivation: Introduction of course contents and reference books Refer to textbook Öğretim Yöntemleri:
Anlatım
2 Fundemantals of statistics, measurement levels Refer to textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Getting started with SPSS, entering and editing data - 1 Refer to textbook Öğretim Yöntemleri:
Anlatım, Deney / Laboratuvar
4 Getting started with SPSS, entering and editing data - 2 Refer to textbook Öğretim Yöntemleri:
Anlatım, Tartışma, Deney / Laboratuvar
5 Descriptive statistics Refer to textbook Öğretim Yöntemleri:
Anlatım, Deney / Laboratuvar, Problem Çözme
6 Graphs Refer to textbook Öğretim Yöntemleri:
Anlatım, Deney / Laboratuvar, Problem Çözme
7 One sample t tests Refer to textbook Öğretim Yöntemleri:
Anlatım, Deney / Laboratuvar, Problem Çözme
8 Mid-Term Exam General review for the midterm exam Ölçme Yöntemleri:
Proje / Tasarım
9 Two sample t tests Refer to textbook Öğretim Yöntemleri:
Anlatım, Deney / Laboratuvar
10 One-way ANOVA Refer to textbook Öğretim Yöntemleri:
Anlatım, Deney / Laboratuvar, Problem Çözme
11 Two-way ANOVA Refer to textbook Öğretim Yöntemleri:
Anlatım, Deney / Laboratuvar
12 Corsstabs and chi-square tests of independence Refer to textbook Öğretim Yöntemleri:
Anlatım, Deney / Laboratuvar
13 Coefficients of relationship Refer to textbook Öğretim Yöntemleri:
Anlatım, Deney / Laboratuvar, Problem Çözme
14 Simple Linear Regression Refer to textbook Öğretim Yöntemleri:
Anlatım, Deney / Laboratuvar
15 Reliability analysis Refer to textbook Öğretim Yöntemleri:
Anlatım, Örnek Olay, Deney / Laboratuvar
16 Term Exams General review for the final exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams General review for the final exam 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 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 16.11.2022 04:37