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
This course covers Frequency Distributions, Graphical Descriptions, Measures of Central Tendency, Measures of Variability, Moments, Skewness, and Kurtosis. Introduction to Probability, Conditional Probability, Independency. Discrete Continuous Probability Distributions (Binomial, Poisson, Geometric and Hypergeometric) and Continuous Probability Distributions (Uniform, Normal and Exponential).
COURSE CONTENTS
WEEK
TOPICS
1st Week
Introduction, Basic Terms, Sampling Methods
2nd Week
Frequency Distribution and Graphs
3rd Week
Descriptive statistics
4th Week
Descriptive statistics for Frequency Distributions
5th Week
Probability
6th Week
Counting Methods, Permutation, Combination
7th Week
Discrete variable and probability distributions I
8th Week
Mid-Term Exam
9th Week
Discrete variable and probability distributions II
10th Week
Continuous variable and probability distributions
11th Week
Normal distribution
12th Week
Sampling distribution
13th Week
Confidence Interval
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)