MEHMET BALCILAR

11/20/07

EASTERN MEDITERRANEAN UNIVERSITY

COURSE OUTLINE

COURSE CODE	STAT T201
COURSE LEVEL	3^rd Semester/2^nd year undergraduate
COURSE TITLE	Statistics I
COURSE TYPE	Faculty Core
LECTURER(S)	Mehmet Balcılar
CREDIT VALUE	3
ECTS VALUE	6
PREREQUISITES	MATH104
COREQUISITES	None
DURATION OF COURSE	One semester
WEB LINK	http://www.emu.edu.tr/mbalcilar/teaching2007/stat201
OFFICE HOURS	10:30-11:30, Monday; 15:30-16:30, Wednesday
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 on each topic from the end of each chapter.

METHOD OF ASSESSMENT

Midterm: 30%

Final Exam: 40%

Quizzes: 20%

Labwork: 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 (12^th 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

2007-2008 Fall Semester

CONTENT & SCHEDULE

Lectures will be held for

Group 1on Monday (08.30 – 10.20 am) in RD206 and Wednesday (08.30 - 10.20 pm) in RD206 and RDLab2

Group 2 on Monday (12.30 - 14.20 pm) in RD106 and Wednesday (12.30 – 14.20pm.) in RDLab2 and RD306 Group 3 on Tuesday (11.30 - 13.20 pm) in RD306 and Thursday (11.30 - 13.20 pm) in RD104 and RD Lab2

Group 4 on Tuesday (14.30 - 16.20 pm) in RD302 and RDLab3 Thursday (13.30am. - 15.20 pm) in RD104 Group 5 on Tuesday (08.30 – 10.20 pm) in RD301, Friday (10.30 -12.20 pm)in RD Lab 2

Group 6 on Monday (10.30-12.20 pm) in RD301 and Lab 2, Friday (13.30 – 15.20 pm) in RD102

The lecture topics within the semester are as in the following schedule:

WEEKS

DATES

SUBJECT

TOPICS

24 – 28 Sept. 2007

What is Statistics
(Ch.1)

Why Study Statistics; Types of Statistics- Descriptive or Inferential; Types of Variables; Levels of Measurement-Nominal, Ordinal, Interval and Ratio Level Data; Statistics,Graphics, and Ethics; Basic Rules of Summation.

1 – 5 Oct. 2007

Describing Data: Frequency Distributions and Graphic Presentation(Ch.2)

Constructing a Frequency Distribution; Class Intervals and Class Midpoints; Relative Frequency Distribution;Graphical Presentation: Histogram, CumulativeFrequency Distribution, Other Graphic Presentations of Data

8 – 11 Oct. 2007

Describing Data: Numerical Measures(Ch.3)

The Population Mean; The sample mean; The Properties of the Arithmetic Mean; The Weighted Mean; The Median;The Mode; The Geometric Mean; The Relative Positions of the Mean, Median and Mode;

15 – 19 Oct. 2007

Describing Data: Numerical Measures(Ch.3)

Why Study Dispersion; Range; Mean Deviation; Variance and Standard Deviation; Interpretation and Uses of Standard Deviation: Chebyshev’s Theorem, The Empirical Rule; The Mean, Median and Standard Deviation of Grouped Data;

22 Oct. – 26 Oct. 2007

Describing Data: Displaying and Exploring Data
(Ch.4)

Other Measures of Dispersion: Quartiles, Deciles and Percentiles; Relative Dispersion; Skewness;

30 Oct. – 2 Nov.07

Probability Concepts(Ch.5)

What is Probability; Approaches to Probability: Classical,Empirical and Subjective; Some Rules of Probability: Rules of Addition, Rules of Multiplication; Contingency Tables; Tree Diagrams

7 & 8

5 – 14 Nov. 2007

Discrete Probability Distribution
(Ch.6)

What is a Probability Distribution; Random Variables;The Mean, Variance and Standard Deviation of a Probability Distribution; Binomial Probability Distribution-How is a Binomial Probability Distribution Computed,Binomial Probability Tables; Cumulative Probability Distributions.

16 – 24 Nov. 2007

Mid Term Exam

10 & 11

26 Nov. – 7 Dec. 2007

The Normal Probability Distribution
(Ch.7)

The Family of Uniform Distributions; The Family of NormalProbability Distributions; The Standard Normal Distribution:Applications of the Standard Normal Distribution, The Empirical Rule, Finding Areas under the Normal Curve.

12 & 13

10 Dec. – 19 Dec.

2007

Sampling Methods and the Central Limit Theorem
(Ch.8)

Sampling Methods; Sampling Error; Sampling Distribution of the Sample Mean; The CentralLimit Theorem; Using the Sampling Distribution of theSample Mean

14 & 15

24 Dec. 07 – 4 Jan.2008

Estimation andConfidence Intervals
(Ch.9)

Point Estimates and Confidence Intervals: known s or a Large Sample, Unknown s and a Small Sample; A Confidence Interval for a Proportion; Choosing an Appropriate Sample Size.

8 – 22 Jan. 2008

Final Exam

LAB WORK WITH MICROSOFT EXCEL AND TUTORIAL PROBLEMS

The following topics will be tutored by assistants .It is advised that you review the following problems solved during the tutorial hours as well as the quiz and homework problems for preparation for the exams.

LAB WORK AND TUTORIAL SCHEDULES

WEEK	CHAPTER	COMPUTER LAB	TUTORIAL & HWK PROBLEMS
2	1, 2	Input Data, Histogram, Bar, Pie Charts, Line Greaphs	Tutorial 1 Ch 1 Q 1,2, 13, Ch 2 24, 26, 27, 28
3	3	Descriptive Statistics (As shown on p. 66, Instructions on p. 92)	Tutorial 2 Ch 3 Q 14 ,17, 21, 25, 29, 36
4	3	Descriptive Statistics (As shown on p. 66, Instructions on p. 92)	Tutorial 3 Ch 3 Q 38, 44, 49, 50, 54, 68, 69
5	4	Calculation of Percentiles (p.107 instructions p. 130) Coefficient of Skewness (Q 23-c ) Scatter Diagram (Q 27- similar to exercise p119 )	Tutorial 4 Ch 4 Q 11,20, 23(a & b), 29
6	5	Probability applications	Tutorial 5 Ch 5 Q 9, 11, 13, 14, 15, 25
7	5	Probability applications	Tutorial 6 Ch 5 Q 29, 30, 32, 58
8	6	Binomial Probability Distribution (Ex. P. 193- instr on p.210)	Tutorial 7 Ch 6 Q 3, 7, 13, 15
10, 11	7	Areas Under a Normal Curve (ex. P.225, instructions p. 241) Finding Value of an Observation. (Ex. P. 231, instructions p. 241)	Tutorial 8 Ch 7 Q 1, 3, 9, 13, 20
12, 13	8	Samplıng Methods-	Ch 8 Q. 4, 5, 15, 18, 23, 29, 31, 35, 37, 39
14, 15	9	Developing Confidence Intervals	Ch 9 Q 5, 11, 13, 15, 23, 25, 30, 36, 42

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

October 1^st is the last day for late registration

October 4^th is the last day for add and drop.

October 12^th, 13^th and 14^th is Religious Holiday

November 15^th is National Holiday.

December 7^th is the final date for course withdrawal.

December 20^th – 23^rd is Religious Holiday

January 1^st is Bank Holiday

January 4^th is Last Day of Classes

January 31^st is the last day for the submission of letter grades.

February 5^th is Convocation for Fall Graduates

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to contact me:

Department of Economics
Eastern Mediterranean University
Gazimagusa
Turkish Republic of North Cyprus

Tel: +90 392 630 1548 (Internal: 1548)
Fax: +90 392 365 1017
Email: mehmet.balcilar@emu.edu.tr
Web site: http://www.mbalcilar.net

This site was last updated 09/26/07