At the end of this course, the students; 1) Know the basic concepts related to statistics 2) Know how to choose a sample 3) Calculate the descriptive statistics 4) Organize and analyze the data set 5) Calculate the confidence interval for the parameter 6) Know the basic concepts of probability.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
The course, which aims to introduce mathematical statistics, includes variables and graphs, frequency distribution, measures of central tendency, measures of dispersion, moments, skewness and kurtosis, theory of probability,discrete probability distribution and continuous probability distributions.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Introduction to statistics
2nd Week
Data collection & data organization
3rd Week
Descriptive statistics I
4th Week
Descriptive statistics II
5th Week
Basic probablity
6th Week
Discrete probablity distributions-I
7th Week
Discrete probablity distributions-II
8th Week
Mid-term examination
9th Week
The normal distribution-I
10th Week
The normal distribution-II
11th Week
Sampling distributions
12th Week
Confidence interval estimation
13th Week
Sample size determination
14th Week
Problem solving
RECOMENDED OR REQUIRED READING
Berenson, M., Levine, D., Kerehbiel, T., Stephan, D. (2011). Basic Business Statistics with MyMathLab Global, Global Edition, 12/E Prentice Hall.
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
50
50
Course hours
14
3
42
Preparation for Midterm exam
1
30
30
Laboratory (including preparation)
Final exam
1
1,5
1,5
Homework
Total Workload
153
Total Workload / 30
5,1
ECTS Credits of the Course
5
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)