At the end of this course, the students; 1) Provide the students with the knowledge and skills to collect, analyze and interpret data while solving scientific and practical problems that the students will encounter in their fields. 2) Gain the knowledge of which kind of research question can be answered by which statistical method.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
Yes(MAN245)
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
This course is a continuation of İŞLE 243. Sampling Distributions. Techniques for Drawing Samples. Point and Interval Estimation. Estimation of Means, Variances, Difference, Proportions. Inference based on Single and two Samples; Estimation and Tests. Comparison of Independent and Paired Samples. Analysis of Variance; Regression Analysis, Least Square Method, Model Selection.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Review of statistics 1-
2nd Week
Single Sample Hypothesis Tests
3rd Week
Single Sample Hypothesis Tests-continue
4th Week
Two-Sample Z-test and t-test (unequal variances)
5th Week
Variance Analysis and Two-Sample t-test (equal variances)
6th Week
Hypothesis tests for proportions
7th Week
p-value and paired sample t-test
8th Week
Midterm Exam
9th Week
Analysis of variance
10th Week
Correlation
11th Week
Simple Regression Model
12th Week
Multivariate Regression
13th Week
Chi-Square tests(GOF and independence test)
14th Week
Overview and quaetion solving
RECOMENDED OR REQUIRED READING
https://abs.cu.edu.tr/Dokumanlar/2016/BY%20211/900118279_istatistik_ii.pdf Demirutku, K., Okay, N. C., Yaman, A., Kıvanç, F. E., Muratoğlu, B. ve Yeniçeri, Z. (2005). İstatistiksel formüller ve tablolar. Ankara: Başkent Üniversitesi, İİBF, ELYADAL.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Problem Solving
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
40
Total(%)
40
Contribution of In-term Studies to Overall Grade(%)
40
Contribution of Final Examination to Overall Grade(%)
60
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
1,5
1,5
Preparation for Quiz
Individual or group work
14
2
28
Preparation for Final exam
1
65
65
Course hours
14
3
42
Preparation for Midterm exam
1
45
45
Laboratory (including preparation)
Final exam
1
1,5
1,5
Homework
Total Workload
183
Total Workload / 30
6,1
ECTS Credits of the Course
6
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
