Ders Planı

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CLASS 3

CLASS 4

Lesson plan / STATISTICS

Lesson Information

Course Credit	2.0
Course ECTS Credit	2.0
Teaching Language of Instruction	Türkçe
Level of Course	Associate's Degree, TYYÇ: Level 5, EQF-LLL: Level 5, QF-EHEA: Short Cycle
Type of Course	Compulsory
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	Z
Course Coordinator	Instructor NESLİ KAHRAMAN GEDİK
Instructor (s)
Course Assistant	Öğ.Gör. ÖZGE EREN

Purpose and Content

The aim of the course	Is to give students the basic concepts and principles of statistics. Intelligibility is to provide them with the help of daily life applications. The relationship between statistics and other disciplines to teach statistics with sample problems.
Course Content	Basic concepts, all based on values in the series with averages, not averages of all values in the series, statistical series, the serial types, series, graphic representation, measures of central tendency, probability, continuous random variables, normal distribution, sampling, hypothesis testing, chi-square test, regression, correlation, time series.

Learning Outcomes

With the vocational education that is provided adding to general or vocational high school efficacy students gain the abilities and skills that the program requires.
Creates solutions for the problems that arise in business, collects and uses data effectively, uses the theoretical knowledge that is required for practical implementations and hand or/and cognitive skills in the best way.
Provides flow of information in and out environment of the firm and as a consequence of it improves team work skills.
Learns the other functions of the firm independently and implements them.
Identifying problems and seeking solutions to unforeseen situations in the company gained the ability to show
Objectively evaluate their performance under the responsibility and supervision of employees
Has a moderate level in the field of foreign language knowledge.
With the knowledge of basic computer usage, students can use internet technologies and office software.
Acquires social responsibility, ethics, moral values, information and cognition about the issues related to field.
Acquires work safety, employee health and environmental sensitivity information and cognition about the issues related to field.
Acquires information and cognition of free market economy competition conditions, law and ethics about the issues related to field.
Holds the responsibility of keeping up with the financial institutions about the issues related to field.
Have the opportunity of doing internship related with his/her field.
without application, practising can not be made and his/her ability can not develop
having the knowledge by taking the necessary practical knowledge during semesters
Have the concious of following academical and sectoral seminars and conferences related with his/her field of interest.
Takes initiative and establish his/her own business.
Identify the problems about the field, have the ability of founding cause-effect relation.
Solve problem with analytical thinking.
Have the ability of conceptual thinking
Make literature on the field of business.
Follow developments, trends and have vision.
Join team work
Have the consciousness of ethics and social responsibility .
Collaborate effectively in a team environment.
Have the consciousness of ethics and social responsibility .
effective communication is the basic element of success.
Apply an understanding of the legal and ethical constraints of management to specific business situations
Have the ability of analytical thinking
Have the competence of decision making in company's complicated internal and external conditions
oversee the interest of all stakeholders in the decision making process

Weekly Course Subjects

1	Basic concepts, variables and the main mass, data collection, compilation of data types.
2	Statistics series, serial types, graphic representation of the series.
3	Measures of central tendency and variability, averages
4	The averages of all values in the series
5	Do not depend on all the values in the series averages, mode, median.
6	Probability, dependent on an independent event, complementary event.
7	Sampling, sampling standard error
8	The normal distribution, normal distribution curve
9	Hypothesis testing, hypothesis testing types
10	Chi-square test, fitness test.
11	Simple linear regression, perfusion diagram.
12	Correlation coefficient, significance test.
13	Indices, simple and composite indexes
14	Time series analysis

Resources

Ekrem Yildiz, Vocational School Course Content Available Statistics, Seckin Yayinevi, Ankara, 2010.

Neyran Orhunbile, Descriptive Statistics, 2003

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CLASS 4

Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

Resources

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