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Year/Semester of Study | 4 / Spring Semester | ||||
Level of Course | 1st Cycle Degree Programme | ||||
Type of Course | Optional | ||||
Department | BUSINESS ADMINISTRATION | ||||
Pre-requisities and Co-requisites | None | ||||
Mode of Delivery | Face to Face | ||||
Teaching Period | 14 Weeks | ||||
Name of Lecturer | GÖKHAN SEÇME (gsecme@nevsehir.edu.tr) | ||||
Name of Lecturer(s) | |||||
Language of Instruction | English | ||||
Work Placement(s) | None | ||||
Objectives of the Course | |||||
The objective of the course is to provide students with statistical analysis on the computer. |
Learning Outcomes | PO | MME | |
The students who succeeded in this course: | |||
LO-1 | be able to understand the variable types and measurement |
PO-12 become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. |
Examination Laboratory Exam Practice Exam |
LO-2 | be able to analyse hypothesis and discover analyse method |
PO-17 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance. |
Examination Laboratory Exam Practice Exam |
PO: Programme Outcomes MME:Method of measurement & Evaluation |
Course Contents | ||
Variable types, measurement scales, parametric and non-parametric tests, comparing means, causality tests, regression analysis | ||
Weekly Course Content | ||
Week | Subject | Learning Activities and Teaching Methods |
1 | Variables, variable types, parameters and measurement | verbal lecture and discussion |
2 | Hypothesis tests | Verbal lecture and discussion |
3 | Paremetric and non-parametric tests | Verbal lecture and discussion |
4 | Parametric and non-parametric tests, normality | Verbal lecture with Computer application |
5 | Hypothesis testing | Verbal lecture with Computer application |
6 | Comparing means, t-test versions | Verbal lecture with Computer application |
7 | Comparing means, t-test versions and Anova | Verbal lecture with Computer application |
8 | mid-term exam | |
9 | Ki-square test | Verbal lecture with Computer application |
10 | Correlation and Causality | Verbal lecture with Computer application |
11 | Covariance analysis | Verbal lecture with Computer application |
12 | Regression analysis | Verbal lecture with Computer application |
13 | Non-paremetric tests for comparing means | Verbal lecture with Computer application |
14 | Non-parametric test for causality | Verbal lecture with Computer application |
15 | General evaluation | Verbal lecture with Computer application |
16 | final exam | |
Recommend Course Book / Supplementary Book/Reading | ||
1 | de Smith M J (2015) STATSREF: Statistical Analysis Handbook - a web-based statistics resource. The Winchelsea Press, Winchelsea, UK | |
2 | Foster, J. J., Data Analysis using SPSS for Windows: A Beginners` Guide, Sage Publications | |
3 | Applied Statistics in Business and Economics (The Mcgraw-hill/Irwin Series, Operations and Decision Sciences) 3rd Edition by David Doane (Author), Lori Seward (Author), 2010 | |
Required Course instruments and materials | ||
Textbook, data show, computer, and software |
Assessment Methods | |||
Type of Assessment | Week | Hours | Weight(%) |
mid-term exam | 7 | 2 | 40 |
Other assessment methods | |||
1.Oral Examination | |||
2.Quiz | |||
3.Laboratory exam | |||
4.Presentation | |||
5.Report | |||
6.Workshop | |||
7.Performance Project | |||
8.Term Paper | |||
9.Project | |||
final exam | 14 | 2 | 60 |
Student Work Load | |||
Type of Work | Weekly Hours | Number of Weeks | Work Load |
Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
Outside Class | |||
a) Reading | 1 | 14 | 14 |
b) Search in internet/Library | 1 | 14 | 14 |
c) Performance Project | 0 | ||
d) Prepare a workshop/Presentation/Report | 0 | ||
e) Term paper/Project | 0 | ||
Oral Examination | 0 | ||
Quiz | 0 | ||
Laboratory exam | 2 | 12 | 24 |
Own study for mid-term exam | 3 | 1 | 3 |
mid-term exam | 3 | 1 | 3 |
Own study for final exam | 3 | 1 | 3 |
final exam | 3 | 1 | 3 |
0 | |||
0 | |||
Total work load; | 106 |