EASTERN MEDITERRANEAN UNIVERSITY

FACULTY OF BUSINESS AND ECONOMICS

DEPARTMENT OF ECONOMICS

2011-2012 SPRING SEMESTER

STAT 201 - COURSE OUTLINE

COURSE CODE / STAT201 / COURSE LEVEL / 3rd Semester/ 2nd year undergraduate
COURSE TITLE / Statistics I
COURSE TYPE / Faculty Core
LECTURER(S) / Groups 2,3: Gülcay Tuna Office: BE 270, Phone: 2115
Group 1, 4: Nuru Giritli Office: BE 277 Phone: 2124
CREDIT VALUE / 3 / ECTS VALUE / 6
PREREQUISITES / MATH104
COREQUISITES / None
DURATION OF COURSE / One semester
WEB LINK / http://fbemoodle.emu.edu.tr > Dept. of Econ > STAT201
OFFICE HOURS To be announced.
ASSISTANT To be announced.
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:
Ø  Frequency distribution
Ø  Measures of central location and dispersion
Ø  Probability concepts
Ø  Discrete probability distribution
Ø  Empirical Rule and the Central Limit theorem
Ø  Confidence Intervals
On successful completion of this course, all students will have developed their skills in:
Ø  Constructing frequency distribution
Ø  Computing and interpreting various measures of central location and dispersion
Ø  Applying probability theory in solving problems in business and economics
Ø  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:
Ø  Using descriptive statistics and the probability theory in application
Ø  Understanding the features of different probability distributions
Ø  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
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: 30%
Final Exam: 40%
Quizzes: 20% (4 Quizzes will be given)
Lab quiz: 5%
Class Participation 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:
Group 1 / Group 2 / Group 3 / Group 4
Mon. / 8:30 - 9:20
9:30-10.20
BEA7 / Tue. / 12:30-13:20,
13:30-14:20
RD 102 / Mon. / 14:30-15:20
15:30-16:20
RD 102 / Tues. / 11:30-12:20
BEA6
12:30 -13:20
LAB2
Fri. / 8:30-9:20, RD201
9:30-10:20, LAB 2 / Thu. / 13:30-14:20 RD 102
14:30-15:20 LAB2 / Wed. / 10:30-11:20, RD 103
11:30-12:20, LAB 2 / Thurs. / 8:30 - 9:20
9:30 – 10:20
RD304
CONTENT and SCHEDULE
WEEKS / DATES / SUBJECT / TOPICS
1-2 / 14 - 22 February / Ch. 1
What is Statistics / 1.1 Introduction
1.2 Why Study Statistics
1.4 Types of Statistics
1.5 Types of Variables
1.6 Levels of Measurement
2 / 25 Feb. – 01 March / 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)
3 / 04 – 08 March / Ch. 3
Describing Data:
Numerical Measures
Ch. 4
Describing Data:
Displaying and Exploring Data (Skewness) / 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)
4 / 11 – 15 March / Ch 3 (cont.)
Describing Data:
Numerical Measures / 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 / 18 – 22 March / Ch 5
Probability Concepts / 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;
6 / 25 – 29 March / Ch 5 (cont.)
Probability Concepts / 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 / 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)
10 / 22 – 26 April / Ch. 7
The Continuous Probability Distribution / 7.1 Introduction
7.2 The Family of Uniform Distributions
7.3 The Family of Normal Probability Distributions
7.4 The Standard Normal Probability Distribution
11 / 29 April – 03 May / Ch 7 (contin.)
The Continuous Probability Distribution / Applications of the Standard Normal Distribution,
The Empirical Rule, Finding Areas under the Normal
Curve
(Quiz # 3)
12 / 06 - 10 May / Ch. 8
Sampling Methods and the Central Limit Theorem / 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
13, 14 / 13 – 23 May / Ch. 9
Estimation and
Confidence Intervals / 9.1 Introduction
9.2 Point Estimates for a Population Mean
9.3 Confidence Intervals for a population Mean: known s;
Unknown s
(Quiz # 4)
15 / 28 May-12 June / FINAL EXAMS
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 / CHAPTER / COMPUTER LAB and PROBLEM SESSION TOPICS / TUTORIAL Lab. & PROBLEM Session QUESTIONS
2,3 / 1,
2 / - 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) / Tutorial 1
Ch 1 Q.6,10,13, 20 (P/16-19)
Ch 2 Q 29 (p/47)
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) / Tutorial 2
Ch 3 Q. 39
Ch 3 Q.77, 79, 46 (pop. Var. to be computed on excell sheet for Q.46)
5 / 3 / -PROBL.: Chebyshev’s Th. & Empirical Rule, Grouped Data / Tutorial 3
Ch 3 Q. 54, 55, 58
6 / 4,
5 / -PROBL. Probability applications
- LAB: Determining Permutations & Combinations
(Software commands for Excel on P/183-184) / Tutorial 4
Ch 5 Q. 24, 25,26, 29,70,77
Ch. 5 Q.44,45,46
7
8 / 6 / -PROBL.: Discrete Probability Distributions:
-LAB.: Binomial Probability Distribution
(Ex. P. 200- Excel Commands 2. on p.219) / Tutorial 6
Ch 6 Q. 3, 6, 13, 18, 24
9 / Mid-term Exam Solutions / Tutorial 7
10
11 / 7
7 / -PROBL.: Continious Prob. Distributions
(Uniform Distribution and standard Normal Distribution.)
-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) / Tutorial 8
Ch 7 Q. 2, 3, 9, 20, 50.
12
/ 8 / - PROBL.: Sampling Methods
- LAB.: Excel commands on P/295 / Tutorial 9
Ch 8 Q. 5, 29
Q.46 using Real Estate Data
13 / 9 / - PROBL.: Developing Confidence Intervals / Tutorial 10
Ch. 9 Q. 5, 11, 13
14 / 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
May - June / 27 - 11 / 2013 / Final Exams Period
June / 20 / 2013 / Last Day For The Submission Of Grades To The Registrar
June / 25 / 2013 / Graduatıon Ceremony For Spring Graduates

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