Statistics

Course Code:

STAT 410

Course Period:

Autumn

Course Type:

Core

P:

3

Credits:

3

ECTS:

5

Course Language:

İngilizce

Course Objectives:

The aim of this course is to gain ability for the students to perform the applications of statistical analysis in daily and business life. Besides descriptive and inferential statistics, the course also includes sources of data; collecting, organizing, analyzing and draw conclusions of data. Most popular probability distributions are going to be faced required for inferential statistics and decision making. Frequency Distributions, Table and Graphs, Measures of Central Tendencies, Hypothesis Tests, Sampling are included in this course as well.

Course Content:

Frequency Distributions, Table and Graphs, Measures of Central Tendencies, Discrete and Continuous Probability Distributions, Hypothesis Tests, Sampling topics are included in this course as well.Frequency Distributions, Table and Graphs, Measures of Central Tendencies, Discrete and Continuous Probability Distributions, Hypothesis Tests, Sampling topics are included in this course as well.

Course Methodology:

1: Lecture, 2: Question-Answer, 3: Discussion, 4: Simulation, 5: Case Study

Course Evaluation Methods:

A: Testing B: Presentation, C: Homework, D: Project, E: Laboratory

Vertical Tabs

Course Learning Outcomes

Learning Outcomes	Program Learning Outcomes	Teaching Methods	Assessment Methods
Describe basic concepts of descriptive statistics	1, 2	1, 2, 3	A
Learning Introduction to make Table and Graphs	2	1, 2, 3	A
Prepare and analyze measures of central tendency	1, 4	1, 2, 3	A
Perform calculation of Discrete and Continuous Probability Distributions	3, 5, 6	1, 2, 3	A
Describe Hypothesis Tests	7, 9	1, 2, 3	A
Solve problems about Normal Distribution and Standard Normal Distribution which are continuous distributions; and Binomial distribution and Poisson distribution which are discrete distributions.	10,11,12,13	1, 2, 3	A

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
1	The Nature of probability and Statistics	The basic concepts of statistics
2	Sampling methods	Data Gathering
3	Source of Data, Histograms	Data Processing
4	Frequency distributions and other Graphs	Probability
5	Measures of Central Tendency	Probability
6	Measures of Variation	The basic concepts of statistics
7	Permutations, Combinations	The basic concepts of statistics
8	Mid-term Exam
9	Probability	The basic concepts of statistics
10	Continuous Probability Distributions	The basic concepts of statistics
11	Discrete Probability Distributions	The basic concepts of statistics
12	Hypothesis Testing	Variance
13	Normal Distribution	Probability, The basic concepts of statistics
14	Applications of Normal Distribution	The basic concepts of statistics
15	Final Exam

Recommended Sources

RECOMMENDED SOURCES
Textbook	Elemantary Statistics, Bluman, McGraw-Hill, 8th Edition
Additional Resources	Lecture notes, scientific calculator

Material Sharing

MATERIAL SHARING
Documents	Guidelines and additional examples for Lecture Topics
Assignments	Homework Assignments
Exams	Midterm Exam and Final Exam

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Mid-terms	1	40
Quizzes	2	10
Attendance	-	0
Final	1	50
Total		100
Contribution of Final Examination to Overall Grade		50
Contribution of In-Term Studies to Overall Grade		50
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM
No	Program Learning Outcomes	Contribution
No	Program Learning Outcomes	1	2	3	4	5
1	Will be designed by the Department
2	Will be designed by the Department

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Including the exam week: 15x Total course hours)	15	3	45
Hours for off-the-classroom study (Pre-study, practice)	15	2	30
Mid-terms	1	1	1
Homework	3	14	42
Final examination	1	2	2
Total Work Load			120
Total Work Load / 25 (h)			4,8
ECTS Credit of the Course			5

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