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Statistics

 

PİRİ REİS UNIVERSITY

FACULTY OF ECONOMIC AND ADMINISTRATIVE SCIENCES

Course Name : Statistics

Degree: Bachelor

 

Code

 

 

Year/Semester

 

Local Credits

 

ECTS Credits

 

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

EF 214

2/1 (fall)

3.5

7

3

1

0

Department

Department of Economics and Finance

Department of International Management and Trade

Department of Maritime Business Management

Department of International Logistics and Transportation

Instructors

 

Assist. Prof. Dr. Mehmet Güney Celbiş

Contact Information

 

e-mail: mgcelbis@pirireis.edu.tr

Office Hours

Tuesday 10:00-12:00

Web page

http://www.pirireis.edu.tr/pruonline/www/index.php

Course Type

 Compulsory

Course Language

English

Course Prerequisites

  EF114

Course Category by Content, %

Core Discipline

Core conomics and Finance

Economic Analysis

Humanities and Social Sciences

20

30

20

30

Course Description

Descriptive statistics, probability, discrete probability distributions, continuous probability distributions, correlation, variance, standard deviation, mean, covariance, hypothesis  testing, regression.

 

Course Objectives

 

The course aims to handling issues in basic statistics while covering descriptive statistics, data presentation, tendency and dispersion measures, distribution types, probability, point and interval estimates. In addition students will further advance through practicing applications.

 

Course Learning Outcomes

 

Students who successfully pass  EF 214:

  1. Will have internalized fundamental statistical concepts.
  2. Will be able to select the appropriate statistical methods depending on the type of data.
  3. Will be able to test for hypotheses using statistical methods.
  4. Will be able to consolidate interpretation of results with scientific research.
  5. Will be able to share findings and recommendations  related to the her/his field with expert and non-expert audiences based on data.
  6. Will operate according to social, scientific, and ethical values when collecting data related to the field, their analysis in computerized environments, interpretation, and the presentation of results.
  7. Will be able to calculate and interpret descriptive statistics in computerized environments.

Instructional Methods and Techniques

The presentation of theory and computer applications

Tutorial Place

-

Co-term Condition

-

Textbook

Statistics for Business and Economics,  8th Edition, Paul Newbold, William Carlson, Betty Thorne – Pearson ISBN13: 9780132745659

Other References

Course notes and exercises are shared with students through the web links provided in the course syllabus.

Homework & Projects

Each week, students must complete computer exercises following the theoretical lecture.

Laboratory Work

 

Computer Use

Each week computer skills will be employed regarding relevant methods.

Other Activities

a quiz and midterm will take place

                   

 

Assessment Criteria

Activities

Quantity

Effects on Grading, %

Attendance

 

 

Midterm

1

40

Quiz

1

10

Homework

 

 

Term Paper/Project

 

 

Laboratory Work

 

 

Practices

 

 

Tutorial

 

 

Seminar

 

 

Presentation

 

 

Field Study

 

 

Final Exam

1

50

TOTAL

 

100

Effects of Midterm on Grading, %

 

50

Effects of Final on Grading, %

 

50

TOTAL

 

100

 

 

 

 

Week

 

Topics

Course Outcomes

1

Using Graphs to Describe Data

II-IV-V-VI-VII

2

Using Graphs to Describe Data (Cont'd)

II-IV-V-VI-VII

3

Using Numerical Measures to Describe Data

II-IV-V-VI-VII

4

Elements of Chance:  Probability Methods

I-IV

5

Elements of Chance:  Probability Methods (Cont'd)

I-IV

6

Exercise session and quiz

I-III-VII

7

Discrete Probability Distributions

I-III-IV-VII

8

Midterm exam

II-IV-V-VI-VII

9

Discrete Probability Distributions Cont'd

I-III-IV-VII

10

Continuous Probability Distributions

I-III-IV-VII

11

Distributions of sample statistics

II-V-VI-VII

12

Con
dence interval estimation

I-II- IV-V-VI-VII

13

Hypothesis test

I-II-III-IV-V-VI-VII

14

Regression analysis

I-II-III-IV-V-VI-VII


 

 

 

Relationship between the Course and the Department of Economics and Finance/Department of International Management and Trade/Department of Maritime Business Management/Department of International Logistics and Transportation

 

 

Program Outcomes

Level of Contribution

1

2

3

a

Ability to analize the theoretical information in the area of economics and finance, and to assess their implications in implementation.

 

x

 

b

Ability to acquire distinctive information in the area of social and and behavioral sciences through academic, managerial, and politically focused written and visual resources

 

x

 

c

Ability to acquire knowledge by integrating information related to the field of economics and finance into computerized environments.

 

 

x

d

Ability to present obtained information by employing the technical skills required by the field of economics and finance (such as in computerized environments) in Turkish or English.

 

 

x

e

Ability to employ knowledge related to the field of economics and finance in decision-making, application, and the application of decisions.

 

x

 

f

Ability to produce multidisciplinary assessments and conduct analyses in harmony with the area of economics and finance, related sub-fields, and other social science areas.

x

 

 

g

Ability to incorporate and accurately assess ethical and Professional responsibilities.

x

 

 

h

Ability to establish effective high-level written and oral communications in Turkish and English.

x

 

 

i

To have a wide-range understanding for the incorporation of the effects of the field of economics and finance in a global context.

x

 

 

j

Having acquired lifelong learning skills

 

x

 

k

Having wide knowledge on contemporary topics.

x

 

 

l

Being open and adaptive to novelty and varying conditions

x

 

 

m

Having practical and theoretical technical knowledge for being able to obtain information and results through data analysis.

 

 

x

 

         1: Small, 2: Partial, 3: Full

 

 

Prepared by

Asst.Prof. Mehmet Güney Celbiş

Date

07.6.2017

Signature