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  Course Description
Course Name : Statistics II

Course Code : EM 202

Course Type : Compulsory

Level of Course : First Cycle

Year of Study : 2

Course Semester : Spring (16 Weeks)

ECTS : 3

Name of Lecturer(s) : Asst.Prof.Dr. EBRU ÖZGÜR GÜLER
Asst.Prof.Dr. HÜSEYİN GÜLER

Learning Outcomes of the Course : Distinguishes between the properties of normal and standard normal distributions
Finds interval estimates for mean and variance in different situations
Interprets the computed confidence interval
Creates hypothesis under different scenarios and tests them
Makes a decision about the parameter using the result of the hypothesis test
Tests the dependency of two categorical variable with chi-square independency test

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : This course aims to develop the properties of continuous probability distributions and interchanging them, use sample data to form a confidence interval and test a hypothesis for the parameter of the distribution.

Course Contents : The course covers the transformations between normal and standart normal distributions, making statistical decisions by using sample distributions to find an interval estimate of a parameter and hypothesis tests for a parameter

Language of Instruction : Turkish

Work Place : Classroom


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Motivation: Explaining the properties of continuous distributions Related chapter from the reference book Lecture, statistical package
2 Properties and transformations of normal and standard normal distributions Related chapter from the reference book Lecture, statistical package
3 Sample selection and sampling distributions Related chapter from the reference book Lecture, statistical package
4 Properties of sample mean and sample variance Related chapter from the reference book Lecture, statistical package
5 Central limit theorem and computing probabilities about the sample mean Related chapter from the reference book Lecture, statistical package
6 Interval estimates: Computing confidence intervals for a single population Related chapter from the reference book Lecture, statistical package
7 Interval estimates (cont): Computing confidence intervals for two populations Homework #1: Quiz for confidence intervals Lecture, statistical package
8 Midterm
9 Statistical Inference: Forming and testing hypothesis about a single population Related chapter from the reference book Lecture, statistical package
10 Applications for hypothesis tests about a single population Related chapter from the reference book Lecture, statistical package
11 Statistical Inference (cont): Forming and testing hypothesis about two populations Related chapter from the reference book Lecture, statistical package
12 Statistical Inference (cont): Forming and testing hypothesis about two populations Related chapter from the reference book Lecture, statistical package
13 Applications for hypothesis tests about two populations Related chapter from the reference book Lecture, statistical package
14 Chi-square test for independency Related chapter from the reference book Lecture, statistical package
15 Applications of chi-square test for independency Homework #2: Quiz for hypothesis tests Lecture, statistical package
16/17 Final Exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  AKDENİZ, F. (2012), Olasılık ve İstatistik. Akademisyen Yayınevi, 18. Baskı.
 TURANLI, M. ve GÜRİŞ, S. (2010), Temel İstatistik. Der yayınevi, 3. Baskı.
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 80
    Homeworks/Projects/Others 2 20
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 uses modern communication tools, methods and processes, collects and interprets data from different sources using 3
2 understands and explains the role of the public and private sector in the economy, the market economy and the function of the public sector 0
3 uses the information of profesional field about basic computer knowledge and skills 4
4 Collect quantitative and statistical data, makes analysis and interpretation 5
5 understands and interprets corecctly the feelenings, thoughts and behaviors of other people, express Themselves in written and oral form. 1
6 Aware of the social, scientific and ethical values ??and acts accordingly 0
7 Questions the traditional approach and methods of application,and he to develops and implements new ways of working if he considers it is necesaary 3
8 Individually and / or in a team, take responsibility, leadership, and effectively works 2
9 In recognition of the need for lifelong learning and constantly renews itself keeps track of the latest developments. 1
10 2
11 UseTurkish in academic life and work in accordance with the requirements of the uses of life. 2
12 Use different resources in accordance with the academic rules, synthesize the information gathered, and present them effectively in an area which has not been studied 2
13 Use Turkish and at least one foreign language in accordance with the prerequisities of academic and business context 2
14 Develop scientific and ethical values in the fields of statistics-and scientific data collection 4
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 3 42
    Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
    Homeworks, Projects, Others 2 2 4
    Mid-term Exams (Written, Oral, etc.) 1 4 4
    Final Exam 1 6 6
Total Workload: 84
Total Workload / 25 (h): 3.36
ECTS Credit: 3