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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Statistics PAP108 Compulsory Associate degree 1 Spring 4

Name of Lecturer(s)

Prof. Dr. Mehmet Ufuk KASIM
Assistant Prof. Dr. Hale BÜTÜN BAYRAM
Lecturer Yasemin ASLAN
Lecturer Vasfi Nadir TEKİN
Lecturer Dr. Bahar AYDIN CAN

Learning Outcomes of the Course Unit

1) The collected data can be used in decision making
1) The collected data can be used in decision making
1) The collected data can be used in decision making
1) The collected data can be used in decision making
1) The collected data can be used in decision making
2) Of data collected in business to be presented to the people regularly and making a variety of data to be displayed in a graphic environment
2) Of data collected in business to be presented to the people regularly and making a variety of data to be displayed in a graphic environment
2) Of data collected in business to be presented to the people regularly and making a variety of data to be displayed in a graphic environment
2) Of data collected in business to be presented to the people regularly and making a variety of data to be displayed in a graphic environment
2) Of data collected in business to be presented to the people regularly and making a variety of data to be displayed in a graphic environment
3) Measure of central tendency and distribution of data using the group which is concentrated around values and shows how the distribution function can be made about the assumptions about
3) Measure of central tendency and distribution of data using the group which is concentrated around values and shows how the distribution function can be made about the assumptions about
3) Measure of central tendency and distribution of data using the group which is concentrated around values and shows how the distribution function can be made about the assumptions about
3) Measure of central tendency and distribution of data using the group which is concentrated around values and shows how the distribution function can be made about the assumptions about
3) Measure of central tendency and distribution of data using the group which is concentrated around values and shows how the distribution function can be made about the assumptions about
4) Selected examples from the research groups belonging to determine which functions you can use the study of
4) Selected examples from the research groups belonging to determine which functions you can use the study of
4) Selected examples from the research groups belonging to determine which functions you can use the study of
4) Selected examples from the research groups belonging to determine which functions you can use the study of
4) Selected examples from the research groups belonging to determine which functions you can use the study of
5) Selected as belonging to research which of these functions, which are more suitable for the use of that rule and determine each other by
5) Selected as belonging to research which of these functions, which are more suitable for the use of that rule and determine each other by
5) Selected as belonging to research which of these functions, which are more suitable for the use of that rule and determine each other by
5) Selected as belonging to research which of these functions, which are more suitable for the use of that rule and determine each other by
5) Selected as belonging to research which of these functions, which are more suitable for the use of that rule and determine each other by
6) Used in decision-making process of the relationship between variables can be determined
6) Used in decision-making process of the relationship between variables can be determined
6) Used in decision-making process of the relationship between variables can be determined
6) Used in decision-making process of the relationship between variables can be determined
6) Used in decision-making process of the relationship between variables can be determined

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10 11 12
Learning Outcomes
1 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
1 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
1 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
1 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
1 High Middle No relation Middle Middle Low Middle Low Middle High No relation High
2 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
2 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
2 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
2 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
2 Middle Middle Low Middle Middle Middle High High High High High High
3 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
3 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
3 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
3 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
3 Middle No relation Middle No relation No relation No relation No relation No relation No relation No relation No relation No relation
4 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
4 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
4 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
4 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
4 No relation No relation High Low Low Low High No relation High Low No relation Middle
5 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
5 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
5 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
5 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
5 No relation Middle High No relation High No relation High High Middle High No relation Middle
6 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
6 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
6 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
6 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
6 Middle No relation Middle No relation Middle No relation No relation No relation High High High High

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

no

Course Contents

The definition of statistics, the basic concepts, data types and collection methods, data organization, measures of central tendency, measures of dispersion, estimation theory, correlation analysis, regression analysis and indices

Weekly Schedule

1) Overview: The subjects and usage areas of statistics Population and Sample Sampling The concept 'Variable' Observation
2) Data acquisation, Preparation of Frequency Distribution Tables Frequency Distribution Relative frequency Demonstration of the data on graphics
3) Central Tendency Measures (Mean-Mod-Median)
4) Measures of Variation (Distribution) Standard Deviation Variance Standardized value Variation constant
5) Probability Theory of Probability Event (Cluster)
6) The concept of Probability Probability in Dependent and Independent events
7) Basic rule of Counting Factorial Permutation Combination Types of Distributions
8) Midterm examination/Assessment
9) Binomial Probability Distribution
10) Regression and Regression Equation
11) Correlation
12) Chi-Square Test
13) Research and Trial methods
14) General reminding
15) Examplifying
16) Final examination

Recommended or Required Reading

1- İstatistiğe Giriş
1- İstatistiğe Giriş
2- İstatistik
2- İstatistik

Planned Learning Activities and Teaching Methods

1) Drill and Practice
2) Drill and Practice
3) Drill and Practice
4) Self Study
5) Self Study
6) Self Study
7) Problem Solving
8) Problem Solving
9) Problem Solving
10) Project Based Learning
11) Project Based Learning
12) Project Based Learning


Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade

40%

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required