Course Code:
EDEM 305
Course Period:
Autumn
Course Type:
Core
P:
2
Credits:
2
ECTS:
2
Course Language:
İngilizce
Course Objectives:
The main aim of this study is to examine basic statistics concepts and the relationship among them.
Course Content:
 Sampling, organization and analysis of data; sampling distribution and estimation; confidence interval; estimating the difference between two population mean, estimation for the ratio of the two population variances, estimation for the binomial parameter p; hypothesis testing, correlation and regression.

Course Methodology:
1. Lecture 2. Case study 3. Discussion 4. Demonstration 5. Group work 6. Microteaching 7. Problem solving
Course Evaluation Methods:
A. Supply type B. Multiple-choice test C. Incomplete D. True-False E. Oral exam F. Portfolio G. Performance type H. Report

## Vertical Tabs

### Course Learning Outcomes

 Learning Outcomes Program Outcomes Teaching Methods Assessment Methods 1) Explain descriptive and inferential statistics. 2 1 A, E 2) Calculate measures of central tendency for a given data. 1, 2, 3, 4 1, 7 A, E 3) Calculate measures of variability for a given data. 1, 3 1, 7 A, E 4) Apply appropriate statistical tests for given hypothesis. 1, 3 2, 7 A, E 5) Calculate correlation coefficient and write regression equation. 1, 2, 3, 4 2, 7 A, E

### Course Flow

 COURSE CONTENT Week Topics Study Materials 1 Sampling, organization and analysis of data 2 Measures of Central Tendency 3 Measures of Variability 4 Sampling distribution and estimation 5 Confidence interval 6 Estimating the difference between two population mean 7 Estimation for the binomial parameter p 8 Midterm 9 Hypothesis testing 10 Hypothesis testing with z-scores 11 Hypothesis testing with t-test 12 Hypothesis testing with ANOVA 13 Correlation 14 Regression

### Recommended Sources

 RESOURCES Compulsory Gravetter, F.J. and Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. 9th edition. Wadsworth, USA. Pallant, J. (2011). SPSS Survival Manual: A Step by Step Guide to data Analysis using SPSS, 4th edition. Open University Press, USA Recommended Course Notes

### Material Sharing

 COURSE MATERIALS Documents Exemplary articles for different hypothesis testing procedures Assignments 1) Apply appropriate statistical tests for given data and run hypothesis testing procedures with SPSS Exams Midterm and final exams

### Assessment

 ASSESSMENT IN-TERM STUDIES Quantity Percentage Midterm 1 40 Final 1 40 Assignment 1 20 Total 100 Contribution of Final Exam to Overall Grade 40 Contribution of In-term Studies to Overall Grade 60 Total 100

### Course’s Contribution to Program

 COURSE CONTRIBUTION TO PROGRAM OUTCOMES No Program Outcomes Level of contribution 1 2 3 4 5 1 Knows historical, cultural and scientific developments of the mathematical concepts covered in elementary school mathematics curriculum X 2 Applies fundamental mathematical and geometric concepts into other disciplines and real life situations X 3 Applies mathematical processes (e.g. problem solving, proving theorems, etc.) into given cases accurately. X 4 Plans mathematics teaching process in line with the elementary school curriculum’s vision, philosophy and goals X 5 Uses teaching strategies and techniques that are appropriate for students’ age, grade level, individual differences and readiness level X 6 Applies mathematical processes (e.g. problem solving, proving theorems, etc.) into given cases accurately. X 7 Uses and develops appropriate resources and materials to teach mathematics X 8 Monitors students’ learning process, development and achievement and assesses them by using appropriate assessment tools X 9 Improves professional knowledge by following recent issues in mathematics education X 10 Contributes to the development of mathematics education by doing scientific research X

### ECTS

 ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION Activities Quantity Duration (Hour) Total Workload (Hour) Course hours (including the exam week: 15 x total course) 15 2 30 Hours for off-the-classroom study (pre-study, practice) 15 1 15 Midterm 1 5 5 Assignment 1 2 2 Final 1 5 5 Total Workload 57 Total Workload / 25 (hours) 2,28 ECTS 2