COURSE UNIT TITLE

: FITTING FREQUENCY CURVE

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EMT 4023 FITTING FREQUENCY CURVE ELECTIVE 3 0 0 5

Offered By

Econometrics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ÖZLEM KIREN GÜRLER

Offered to

Econometrics
Econometrics (Evening)

Course Objective

The aim of this course is to teach students the effective use of frequency curves in the statistical modeling process by providing them with the ability to recognize, select and apply appropriate distribution models on quantitative data sets.

Learning Outcomes of the Course Unit

1   OC-1: Ability to analyze the basic structure and distribution properties of data sets using descriptive statistical methods. (OP-2, OP-5)
2   OC-2: Explain the theoretical basis of continuous probability distributions and apply the density functions of these distributions for modeling purposes. (OP-3, OP-4)
3   OC-3: To be able to classify the basic types and transition types of the Pearson distribution family and to perform comparative analysis in the process of selecting the appropriate distribution type. (OP-2, OP-4).
4   OC-4: To be able to interpret the process of determining the distribution type through the Craig diagram using the theoretical structure of frequency curves. (OP-3, OP-5,)
5   OC-5: Ability to perform distribution fit analyses on real data sets and report this process via spreadsheet software. (OP-4, OP-5, OP-6)

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic Statistics: Data Characteristics Probability Density Functions, Cumulative Distribution Functions
2 Basic Statistics: Location Measures, Spread Measures, Asymmetry Measures, Kurtosis Measures Moments of Chance Variables
3 Pearson Family of Distributions General Solution of Pearson Family of Distributions
4 Pearson Distributions: Main Types I and VI Pearson Distributions: Main Type IV
5 Transition Types of Pearson Distributions Craig Card Explained
6 Fitting Distributions to Data Sets: Excel Applications Fitting Distributions to Data Sets: Excel Applications
7 Fitting Distributions to Data Sets: Excel Applications Fitting Distributions to Data Sets: Excel Applications

Recomended or Required Reading

Elderton, W. P. (2011). Frequency Curves and Correlation. Birleşik Krallık: Cambridge University Press.
Johnson, N. L., Kotz, S. (1970). Continuous Univariate Distributions Volume 1. Birleşik Krallık: J. Wiley.
Johnson, N. L., Kotz, S., Balakrishnan, N. (1995). Continuous Univariate Distributions, Volume 2. Birleşik Krallık: Wiley.
Kendall, M. G., Stuart, A., Ord, J. K. (1987). Kendall's Advanced Theory of Statistics: Classical inference and relationship. Amerika Birleşik Devletleri: Oxford University Press

Planned Learning Activities and Teaching Methods

- Narration
- Presentations
- Case study analysis

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 MTEG MIDTERM GRADE MTEG * 1
3 FIN FINAL EXAM
4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Contact Information Of Lecturer : kemal.sehirli@deu.edu.tr Tel: 0 (232) 301 03 86

Office Hours

Meeting Hours of Lecturer : Tuesday 13.30-15.30

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 2 28
Preparation for final exam 1 30 30
Preparation for quiz etc. 1 21 21
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 125

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.111
LO.211
LO.311
LO.411
LO.5111