COURSE UNIT TITLE

: BUSINESS STATISTICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
SIV 1011 BUSINESS STATISTICS COMPULSORY 3 0 0 3

Offered By

Civil Aviation Transportation Management

Level of Course Unit

Short Cycle Programmes (Associate's Degree)

Course Coordinator

DOCTOR HAKAN SÖNMEZ

Offered to

Civil Aviation Transportation Management

Course Objective

The aim of this course is to provide students with the ability to explain the basic concepts related to statistics, to collect, analyze and interpret data using statistical methods and to enable students to apply these skills to business problems.

Learning Outcomes of the Course Unit

1   Compile and interpret data using numerical methods.
2   Shows graphically the data set given by their frequency.
3   Categorizes the variables according to their characteristics.
4   Learns the central tendency and change measures.
5   Learns the basic concepts of probability theory.
6   Identify the sample representing the mainstream.
7   Understands the importance of parameter estimation.
8   Determines the confidence intervals in accordance with the purposes and establishes and tests the hypotheses.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Statistics: Definition, subject and application areas of statistics, basic concepts in statistics, variable types, qualitative and quantitative variables, statistical series, classification of statistical series, displaying statistical series with graphics.
2 Central Tendency Measures: Arithmetic mean, weighted mean, geometric mean, squared mean, harmonic mean, mode, median, divider concepts.
3 Central Tendency Measures: Arithmetic mean, weighted mean, geometric mean, squared mean, harmonic mean, mode, median, divider concepts.
4 Variability Measures: Range of variation, standard deviation, variance, coefficient of variation, skewness and kurtosis measures.
5 Probability Theory: Basic concepts of probability, probability definitions, dependent and independent events, probability calculation rules, Bayes theorem, counting rules, conditional probability.
6 Probability Theory: Basic concepts of probability, probability definitions, dependent and independent events, probability calculation rules, Bayes theorem, counting rules, conditional probability.
7 Mid-Term Exam.
8 Random Variables and Probability Distributions: Continuous random variables and probability distribution, Normal distribution.
9 Random Variables and Probability Distributions: Continuous random variables and probability distribution, Normal distribution.
10 Random Variables and Probability Distributions: Discrete random variables and probability distributions: Binomial distribution and Poisson distribution.
11 Random Variables and Probability Distributions: Discrete random variables and probability distributions: Binomial distribution and Poisson distribution.
12 Hypothesis Testing: Setup stages of hypothesis testing, types of hypothesis testing, unidirectional hypothesis testing, bidirectional hypothesis testing, types of errors in hypothesis testing, hypothesis testing related to the single population average,hypothesis testing on the ratio of population.
13 Statistical Forecasting: Types of statistical forecasting, point estimation of population average and population ratio, interval estimation of population average and population ratio, interval estimation of differences between averages and rates.
14 Statistical Forecasting: Types of statistical forecasting, point estimation of population average and population ratio, interval estimation of population average and population ratio, interval estimation of differences between averages and rates.
15 Final Exam.

Recomended or Required Reading

Textbook(s):
1) Paul Newbold, (Çeviren Ümit Şenesen), Işletme ve Iktisat için Istatistik, Literatür Yayın evi, 2010.
2) Jay L. Devore, Probability and Statistics for Engineering and the Sciences, Second Edition, 2011.
3) Fikret Ikiz, Halis Püskülcü, Şaban Eren, Istatistiğe Giriş, Fakülteler Barış Yayınları, 2006.

Planned Learning Activities and Teaching Methods

Face to face expression technique in the classroom, discussion and problem solving, reading research, classroom applications, student presentations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

There will be held on two in class exams; midterm exam and final exam during the semester.
Grades: 50 % Midterm Exam, 50 % Final Exam, 50 % Make-up Exam.

Language of Instruction

Turkish

Course Policies and Rules

1) Attending at least 70 percent of lectures and fulfill the requirements of the course are mandatory.
2) Plagiarism of any type will result in disciplinary action.

Contact Details for the Lecturer(s)

hakan.sonmez@deu.edu.tr

Office Hours

Tuesday, 13:00 - 16:30, Ground Floor, No: Z 08, Efes Vocational School, Selçuk / IZMIR.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 2 24
Preparation about subject 12 1 12
Student Presentations 1 2 2
Preparation for midterm exam 1 12 12
Preparation for final exam 1 12 12
Preparations before/after weekly lectures 12 1 12
In-class practices 4 1 4
Reading 1 2 2
Preparing presentations 1 2 2
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 86

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16
LO.15
LO.24
LO.34
LO.45
LO.53
LO.65
LO.74
LO.84

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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