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:

I.Will have internalized fundamental statistical concepts.

II.Will be able to select the appropriate statistical methods depending on the type of data.

III.Will be able to test for hypotheses using statistical methods.

IV.Will be able to consolidate interpretation of results with scientific research.

V.Will be able to share findings and recommendations  related to the her/his field with expert and non-expert audiences based on data.

VI.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.

VII.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

Program Outcomes

Level of Contribution

1

2

3

a

b

c

d

e

f

g

h

i

j

k

l

m

Prepared by

Asst.Prof. Mehmet Güney Celbiş

Date

07.6.2017

Signature