Information Of Programmes

FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES / İŞL203 - BUSINESS ADMINISTRATION

Code: İŞL203

Course Title: STATISTICS-I

Theoretical+Practice: 3+0

ECTS: 4

Year/Semester of Study

2 / Fall Semester

Level of Course

1st Cycle Degree Programme

Type of Course

Compulsory

Department

BUSINESS ADMINISTRATION

Pre-requisities and Co-requisites

None

Mode of Delivery

Face to Face

Teaching Period

14 Weeks

Name of Lecturer

AYLİN ALKAYA (aylin@nevsehir.edu.tr)

Name of Lecturer(s)

AYLİN ALKAYA,

Language of Instruction

Turkish

Work Placement(s)

None

Objectives of the Course

The main objectives of this lesson are understanding of statistics terms and their application facilities;composing of numerical data ,deciding in an uncertainty circumstance and interpreting them in a logical way, determining which data analysis techniques should be used in certain conditions and revealing why and how are these techniques are used

Learning Outcomes		PO	MME
The students who succeeded in this course:
LO-1	can effective use statistical methods	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
LO-2	can use statistical analysis techniques in social research.	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. PO-20 Use research methods and techniques for writing a thesis or doing scientific research.	Examination
LO-3	Can develop model and hypothesis	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
LO-4	be able to estimate sampling	PO-8 have knowledge and skills intended for teoric and practice on ethics, legislative framework, auditing standarts and deception by having information about basic audit principles and techniques and reporting the audits issues. 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
PO: Programme Outcomes MME:Method of measurement & Evaluation

Course Contents
What is Statistics, Introduction to Basic Terms, Measurability and Variability, Data Collection, Graphs , Measures of Central Tendency, Measures of Dispersion, Probability, Discrete and Continuous Random Variables, Discrete andContinuous Probability Distributions,Survey Sampling, Sampling and Sampling Distributions, Point Estimation, ?nterval Estimation, Hypothesis Testing, Linear Correlation and Regression Analysis, Indexses
Weekly Course Content
Week	Subject	Learning Activities and Teaching Methods
1	What is Statistics, Introduction to Basic Terms, Measurability and Variability	lecturing and problem solving
2	Data Collection, Graphs	lecturing and problem solving
3	Measures of Central Tendency	lecturing and problem solving
4	Measures of Dispersion	lecturing and problem solving
5	Probability ( What is Probability, Mutually exlucive events etc.)	lecturing and problem solving
6	Probability (Multiplication Rule, Sum of the Probabilities, Permutations, Kombinations, Bayes’Theorem)	lecturing and problem solving
7	Discrete Random Variables	lecturing and problem solving
8	mid-term exam
9	Continuous Random Variables	lecturing and problem solving
10	Discrete Probability Distributions ( Uniform, Bernoulli, Binomial, Geometric)	lecturing and problem solving
11	Discrete Probability Distributions ( Uniform, Bernoulli, Binomial, Geometric)	lecturing and problem solving
12	Cotinuous Probability Distributions (Uniform, Explonantial, Normal, Standart Normal )	lecturing and problem solving
13	Cotinuous Probability Distributions (Uniform, Explonantial, Normal, Standart Normal )	lecturing and problem solving
14	Discrete Random Variables (Two Variables)	lecturing and problem solving
15	Continuous Random Variables (Two Variables )	lecturing and problem solving
16	final exam
Recommend Course Book / Supplementary Book/Reading
1	Özer Serper, Uygulamalı İstatistik 1-2, Bursa: Ezgi Kitabevi, 2004
2	Murray R. Spiegel/ Larry J. Stephens, İstatistik, (Çevirenler: Alptekin ESİN ve Salih ÇELEBİOĞLU), Ankara: Nobel Yayın Dağıtım, 2003
3	İşletme ve İktisat İçin İstatistik, Paul NEWBOLD (Çeviren: Ümit Şenesen), Literatür Yayınları, 4. Baskı, İstanbul, 2000.
4	Çıngı, H. Örnekleme Kuramı, H.Ü. Yayayınları, Ankara
5	ESİN, A. EKNİ, M., GAMGAM, H. İstatistik, GAZİ KİTABEVİ.
Required Course instruments and materials
All Statistics Books

Assessment Methods
Type of Assessment	Week	Hours	Weight(%)
mid-term exam	8	1	40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project	10	1	5
8.Term Paper
9.Project
final exam	16	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	3	10	30
b) Search in internet/Library	1	8	8
c) Performance Project	3	10	30
d) Prepare a workshop/Presentation/Report			0
e) Term paper/Project			0
Oral Examination			0
Quiz			0
Laboratory exam			0
Own study for mid-term exam	3	3	9
mid-term exam	1	1	1
Own study for final exam	4	3	12
final exam	2	1	2
			0
			0
Total work load;			134