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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 II MPP206 Compulsory Associate degree 2 Spring 2

Name of Lecturer(s)

Associate Prof. Dr. Aysen ŞİMŞEK KANDEMİR

Learning Outcomes of the Course Unit

1) Comprehend what is meant by a hypothesis and hypothesis testing.
2) Apply of F distribution.
3) Apply of the t distribution.
4) Apply analysis of variance.
5) Apply to correlation and regression analysis.
6) Explain the sampling methods.
7) Make the statistical estimate.
8) Make statistical decision.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7
Learning Outcomes
1 Middle Middle Middle No relation No relation No relation No relation
2 High High High No relation No relation No relation No relation
3 High High High No relation No relation No relation No relation
4 High High High No relation No relation No relation No relation
5 High High High No relation High No relation No relation
6 Middle Middle Middle No relation No relation No relation No relation
7 High High High No relation No relation No relation No relation
8 High High High No relation No relation No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

1) Statistics I Fulfilling the attendance requirement:

Recommended Optional Programme Components

statistic 1

Course Contents

This course provides students with the knowledge of estimation theory, point and interval estimation, chi-square tests, t tests, F tests, regression and correlation analysis, time series analysis.

Recommended or Required Reading

Planned Learning Activities and Teaching Methods



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