STATISTICS AND PROBABILITY

EMT303

Course Code: EMT303
Semester: Fifth Term (Fall)
Theory+Practice: 3 + 0
ECTS: 4

Course Type

Compulsory Course

Course Level

Bachelor's Degree

Year of Study

Semester

Fifth Term (Fall)

ECTS

Name of Lecturer(s)

Assistant Professor Hande Özçelik

Learning Outcomes

At the end of this course, the students;

Define the basic concepts of probability theory, some distributions and their properties.
Define the aims and some basic concepts of statistics.
Will be able to use simple statistical application techniques.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

Course Description

Basic concepts, frequency distributions, histogram and frequency polygon, graphical representation of categorical data and applications. Parametric and nonparametric measures of central tendency and applications. Parametric and nonparametric measures of dispersion and applications. Skewness and kurtosis. Basic concepts in probability theory, addition and multiplication rule, Bayes theorem, probability distribution table, expected value and applications. Basic concepts in discrete probability distributions, Binomial, Poisson and hypergeometric distributions and applications.

Course Contents

WEEK	TOPICS
1^st Week	Statistics, definitions, concepts and usage areas of statistics
2^nd Week	Descriptive statistics, frequency distributions, bar and pie charts, histograms
3^rd Week	Numerical descriptors: mean, median, mode, measures of variability
4^th Week	Probability, probability laws, conditional probabilities, Bayes' theorem, sage areas
5^th Week	Random variables, probability distributions, discrete and continuous distributions, related probabilities
6^th Week	Some important discrete distributions: the binomial, hypergeometric and Poisson distributions
7^th Week	Some important continuous distributions: uniform, exponential and the normal distributions
8^th Week	Midterm
9^th Week	Sampling distribution, parameter estimation methods
10^th Week	Estimation of means, and difference between means
11^th Week	Estimation of population proportions and the difference between population proportions
12^th Week	Estimation of variances
13^th Week	Estimation of the ratio of population variances
14^th Week	Estimation of the ratio of population variances
15^th Week	General review

Recommended or Required Reading

Statistics for Business and Economics, by Anderson/Sweeney/Williams, West Publishing Company, 1996
Statistics for Management and Economics, 7th Edition, by Mendenhall/Reinmuth/Beaver, Duxbury Press, 1993
Busines Statistics by Example, 5th Edition, by Terry Sincich, Prentice-Hall Inc. (International Students Edition), 1996.
Business Statistics, 6th Edition, by Daniel/Terrell, Hougton Mifflin (International Students Edition), 1996.

Planned Learning Activities and Teaching Methods

Lecture
Discussion
Questions/Answers
Case Study
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 Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	2	2
Preparation for Quiz
Individual or group work	13	2	26
Preparation for Final exam	1	20	20
Course hours	13	3	39
Preparation for Midterm exam	1	16	16
Laboratory (including preparation)
Final exam	1	2	2
Homework	5	3	15
Total Work Load			120
Total Work Load / 30 (h)			4
ECTS Credit of the Course			4

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3
K1
K2	X	X	X
K3
K4
K5
K6
K7
K8	X	X	X
K9
K10