Download EASTERN MEDITERRANEAN UNIVERSITY FACULTY OF

EASTERN MEDITERRANEAN UNIVERSITY
FACULTY OF BUSINESS AND ECONOMICS
DEPARTMENT OF ECONOMICS
2011-2012 SPRING SEMESTER
STAT 201 - COURSE OUTLINE
COURSE CODE
COURSE TITLE
COURSE TYPE
STAT201 COURSE LEVEL 3rd Semester/ 2nd year undergraduate
Statistics I
Faculty Core
LECTURER(S)
Groups 2,3: Gülcay Tuna
Office: BE 270, Phone: 2115
Group 1, 4: Nuru Giritli
Office: BE 277 Phone: 2124
ECTS VALUE
6
3
MATH104
None
One semester
http://fbemoodle.emu.edu.tr >> Dept. of Econ >> STAT201
To be announced.
To be announced.
CREDIT VALUE
PREREQUISITES
COREQUISITES
DURATION OF COURSE
WEB LINK
OFFICE HOURS
ASSISTANT
CATALOGUE DESCRIPTION
Statistics I will concentrate on Descriptive Statistics covering methods of organizing, summarizing and
presenting data in an informative way. Inferential statistics that covers the methods used to determine something
about a population, based on a sample will be briefly introduced and will be covered extensively in Statistics II.
AIMS & OBJECTIVES
The aim of this course is to familiarize students with the basic concepts and techniques in statistics. To
enhance the analytical skills of students to interpret data and to produce information for decision making in
functional areas of business and economics. To help students think statistically and to motivate students to study
furthers in areas of challenge offered by statistics.
GENERAL LEARNING OUTCOMES (COMPETENCES)
On successful completion of this course, all students will have developed knowledge and understanding of:
 Frequency distribution
 Measures of central location and dispersion
 Probability concepts
 Discrete probability distribution
 Empirical Rule and the Central Limit theorem
 Confidence Intervals
On successful completion of this course, all students will have developed their skills in:
 Constructing frequency distribution
 Computing and interpreting various measures of central location and dispersion
 Applying probability theory in solving problems in business and economics
 Using characteristics of binomial and normal probability distributions in solving business and economic
problems
On successful completion of this course, all students will have developed their appreciation of and respect for
values and attitudes regarding the issues of:
 Using descriptive statistics and the probability theory in application
 Understanding the features of different probability distributions
 Using characteristics of probability distributions and the Central Limit theorem in application
RELATIONSHIP WITH OTHER COURSES
Applications involve topics in business and economics. Inferential statistics introduced develops the basis
for understanding the topics covered in the course of Statistics II.
LEARNING / TEACHING METHOD
1
Lectures, application exercises by topic in classroom and tutorials, applications using Microsoft excel
in tutorials in the lab where applicable, assignments.
ASSIGNMENTS
Problems assigned in lab on each topic from the end of each chapter.
METHOD OF ASSESSMENT
Midterm:
Final Exam:
Quizzes:
Lab quiz:
Class Participation
30%
40%
20% (4 Quizzes will be given)
5%
5%
ATTENDANCE
Attendance is compulsary. Unexcused absence for more than twelve lecture and Tutorial hours will result in Grade
“F” If the unexcused absence is on a continual basis the ‘NG’ grade will be given.
TEXTBOOK/S
Statistical Techniques in Business and Economics (15th ed. D. Lind, W. Marchal and R. Mason. McGraw-Hill
Irwin.) (available in Bookstore)
INDICATIVE BASIC READING LIST
None
EXTENDED READING LIST
None
SEMESTER OFFERRED
2012-2013 Sprıng Semester
COURSE SCHEDULE
Lectures will be held according to the following schedule:
Mon.
Fri.
Group 1
8:30 - 9:20
9:30-10.20
BEA7
8:30-9:20,
RD201
9:30-10:20,
LAB 2
Tue.
Thu.
Group 2
12:30-13:20,
13:30-14:20
RD 102
13:30-14:20
RD 102
Mon.
Wed.
14:30-15:20
LAB2
Group 3
14:3015:20
15:3016:20
RD 102
10:3011:20,
RD 103
11:3012:20,
LAB 2
2
Tues.
Group 4
11:30-12:20
BEA6
12:30 -13:20
LAB2
Thurs
.
8:30 - 9:20
9:30 – 10:20
RD304
CONTENT and SCHEDULE
WEEKS
1-2
DATES
14 - 22 February
25 Feb. – 01 March
2
3
04 – 08 March
SUBJECT
Ch. 1
What is Statistics
TOPICS
1.1 Introduction
1.2 Why Study Statistics
1.4 Types of Statistics
1.5 Types of Variables
1.6 Levels of Measurement
Ch. 2
Describing Data:
Frequency Distributions
and Graphic
Presentation
2.1 Introduction
2.2 Constructing a Frequency Table
2.3 Constructing Frequency Distribution: Quantitative Data
2.5 Relative Frequency Distribution
2.6 Graphical Presentation of a Frequency Distribution:
Histogram, Cumulative Frequency Distribution.
(Frequency Polygon Excluded)
Ch. 3
Describing Data:
Numerical Measures
Ch. 4
Describing Data:
Displaying and
Exploring Data
(Skewness)
4
11 – 15 March
5
18 – 22 March
6
25 – 29 March
Ch 3 (cont.)
Describing Data:
Numerical Measures
Ch 5
Probability Concepts
Ch 5 (cont.)
Probability Concepts
3.1 Introduction
3.2 The Population Mean
3.3 The Sample Mean
3.4 The Properties of the Arithmetic Mean
3.5 The Weighted Mean
3.6 The Median
3.7 The Mode
3.9 The Relative Positions of the Mean, Median and Mode
4.5 Skewness
3.10 The Geometric Mean
(Quiz # 1)
3.11 Why Study Dispersion
3.12 Measures of Dispersion; Variance & Standard Deviation
3.14 Interpretation and Uses of Standard Deviation:
Chebyshev’s Theorem, The Empirical Rule
3.15 The Mean, and Standard Deviation of Grouped Data;
5.1 Introduction
5.2 What is Probability
5.3 Approaches to Probability: Classical, Empirical and
Subjective;
5.4 Some Rules of Probability: Rules of Addition, Rules
of Multiplication;
5.5 Contingency Tables
5.6 Tree Diagrams
5.8 The Combination Formula, Permutation Formula
(Quiz # 2)
7, 8
03 - 13 April
MIDTERM EXAMS
9
15 – 19 April
Ch. 6
Discrete Probability
Distribution
22 – 26 April
Ch. 7
The Continuous
6.1 Introduction
6.2 What is a Probability Distribution;
6.3 Random Variables;
6.4 The Mean, Variance and Standard Deviation of a
Discrete Probability Distribution
6.5 Binomial Probability Distribution
How is a Binomial Probability Distribution Computed,
Binomial Probability Tables; Cumulative Probability
Distributions;
6.7 Poisson Probability Distribution
(Excluded: 6.6 Hypergeometric Probability Distribution)
7.1 Introduction
7.2 The Family of Uniform Distributions
3
10
Probability Distribution
29 April – 03 May
11
Ch 7 (contin.)
The Continuous
Probability Distribution
Ch. 8
Sampling Methods and
the Central Limit
Theorem
12
06 - 10 May
13, 14
13 – 23 May
Ch. 9
Estimation and
Confidence Intervals
15
28 May-12 June
FINAL EXAMS
7.3 The Family of Normal Probability Distributions
7.4 The Standard Normal Probability Distribution
Applications of the Standard Normal Distribution,
The Empirical Rule, Finding Areas under the Normal
Curve
(Quiz # 3)
8.1 Introduction
8.2 Sampling Methods
8.3 Sampling Error;
8.4 Sampling Distribution of the Sample Mean
8.5 The Central Limit Theorem
8.6 Using the Sampling Distribution of the Sample Mean
9.1 Introduction
9.2 Point Estimates for a Population Mean
9.3 Confidence Intervals for a population Mean: known ;
Unknown 
(Quiz # 4)
LAB WORK WITH MICROSOFT EXCEL AND TUTORIAL PROBLEMS
The following topics will be tutored by assistants in the lab. It is advised that you review the following problems
solved during the tutorial hours in the lab. as well as the quiz problems for preparation for the exams.
LAB WORK AND TUTORIAL SCHEDULES
WEEK
2,3
CHAPTER
1,
2
COMPUTER LAB and PROBLEM SESSION
TOPICS
- Types of Variables, Sample vs. Population, Levels
of Measurement
- LAB: Construction and graphing Frequency
Distribution; Histogram, Bar, Pie Charts, Line
Graphs (Instructions -Software commands for Excel
1 & 3 on p. 54)
4
3
- LAB: Range, Arithmetic mean, MD computaion
and interpretation as example on P/77-78
- LAB:Descriptive Statistics
(As shown on p. 69, Excel software commands on P/
100)
5
3
-PROBL.: Chebyshev’s Th. & Empirical Rule,
Grouped Data
6
4,
TUTORIAL Lab. &
PROBLEM Session
QUESTIONS
Tutorial 1
Ch 1 Q.6,10,13, 20 (P/16-19)
Ch 2 Q 29 (p/47)
Tutorial 2
Ch 3 Q. 39
Ch 3 Q.77, 79, 46 (pop. Var.
to be computed on excell sheet
for Q.46)
Tutorial 3
Ch 3 Q. 54, 55, 58
Tutorial 4
Ch 5 Q. 24, 25,26, 29,70,77
-PROBL. Probability applications
5
7
6
8
-LAB.: Binomial Probability Distribution
(Ex. P. 200- Excel Commands 2. on p.219)
Mid-term Exam Solutions
9
10
- LAB: Determining Permutations & Combinations
(Software commands for Excel on P/183-184)
-PROBL.: Discrete Probability Distributions:
7
-PROBL.: Continious Prob. Distributions
4
Ch. 5 Q.44,45,46
Tutorial 6
Ch 6 Q. 3, 6, 13, 18, 24
Tutorial 7
Tutorial 8
Ch 7 Q. 2, 3, 9, 20, 50.
(Uniform Distribution and standard Normal
Distribution.)
11
12
13
7
-LAB.: Areas Under a Normal Curve, Finding Value
of an Observation.
(Excel software commands 1 and 2 on P/256-257 for
the examples on P/235, P/241)
8
- PROBL.: Sampling Methods
- LAB.: Excel commands on P/295
- PROBL.: Developing Confidence Intervals
9
14
Tutorial 9
Ch 8 Q. 5, 29
Q.46 using Real Estate Data
Tutorial 10
Ch. 9 Q. 5, 11, 13
LAB QUIZ
PLAGIARISM
This is intentionally failing to give credit to sources used in writing regardless of whether they are published or
unpublished. Plagiarism (which also includes any kind of cheating in exams) is a disciplinary offence and will be
dealt with accordingly.)
MAKE-UP EXAMS
Students who have valid excuses, will be allowed to take make-up examinations for mid-term and final exams. No
make-up exams for quiz.
IMPORTANT DATES
February
11-13
2013
Course Registration Period (With Supervisor )
February
14
2013
Classes Commence
First Day Of Registration With Penalty
February
21
2013
Last Day For Late Registration
Last Day For Submission Of Grade Change To The
Registrar
Last Day For Submission Of Graduation Make – Up
Exam Grades To The Registrar
February
28
2013
Last Day For Add / Drop
April
03 - 13
2013
Mid-Term Exams Period
April
23
2013
National Sovereignty & Children’s Day
April
26
2013
Last Day For Course Withdrawal,
Last Day For Applying To Get Leave Of Absence
May
01
2013
Workers' And Spring Day
May
19
2013
Atatürk Commemoration, Youth And Sports Day
May
23
2013
Last Day Of Classes
27 - 11
2013
Final Exams Period
2013
Last Day For The Submission Of Grades To The
Registrar
2013
Graduatıon Ceremony For Spring Graduates
May - June
June
20
June
25
5