At the end of this course, the students; 1) will improve their ability of statistical data classifying, processing, summarizing and interpreting 2) will gain ability of information generation, estimation and reporting 3) will be using sampling distributions in confidence intervals and sampling distributions, gaining ability of statistical inference 4) will be determining relationship between variables in research studies
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
COURSE CONTENTS
WEEK
TOPICS
1st Week
Random Sampling, Some Important Statistics
2nd Week
Concept of Sampling distribution, Sampling Distributions of Means and S2
3rd Week
t-Distribution, F-Distribution
4th Week
One- and Two-Sample Estimation Problems (for a Mean and Mean Differences)
5th Week
One- and Two-Sample Estimation Problems (for a Proportion and Ratio of Proportions)
6th Week
One- and Two- Sample Hypothesis Testing (for a Variance and the Ratio of Variances), Maximum Likelihood Estimation
7th Week
Hypothesis Testing, Type I and II Errors. Usage of P-Value,
8th Week
Midterm
9th Week
One- and Two- Sample Hypothesis Testing (for a Mean and Mean Differences)
10th Week
One- and Two-Sample Hypothesis Testing (for a Variance and the Ratio of Variances)
11th Week
Goodness of fit, Independence and Homogeneity Tests
12th Week
Simple Linear Regression and Correlation
13th Week
Analysis of Variance Application Lack-of-fit Test
14th Week
Multiple Linear Regression Analysis and One-Factor Experiments
RECOMENDED OR REQUIRED READING
(1) Walpole R.E., Myers R.H. Myers Sh. L. Ye K. Probability and Statistics or Engineers and Scientists Prentice Hall. 7th edition; (2) Akdeniz F. "Olasılık ve İstatistik", Nobel Kitabevi, 13. Baskı, 2007. (3) Erbaş S. O. "Olasılık ve İstatistik", Gazi Kitabevi.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Questions/Answers,Problem Solving,Other
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
35
Assignment
3
15
Quiz
3
15
Total(%)
65
Contribution of In-term Studies to Overall Grade(%)
65
Contribution of Final Examination to Overall Grade(%)
35
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
2
2
Preparation for Quiz
3
4
12
Individual or group work
14
14
196
Preparation for Final exam
1
20
20
Course hours
14
3
42
Preparation for Midterm exam
1
20
20
Laboratory (including preparation)
Final exam
1
2
2
Homework
3
6
18
Total Workload
312
Total Workload / 30
10,4
ECTS Credits of the Course
10
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)