Announcements

  1. Course page is on line (Oct.30)
  2. Bertsekas(2000) available for download.
  3. Homework Questions for Chapter 1 -part 1- available.
  4. Homework Questions for Chapter 1 -part2 excel exercises- available. Data Files: Tennis ; Finstad and Lie Study ; USD Exchange Rate ; University Enrollments 1995 - 2005 ; Scores
  5. Misleading Graphs presentation ppt file (presented on 21st Oct.)
  6. Excel Exercises Presentation excel file (presented on 28th Oct.)
  7. Homework Questions for Chapter 2 available. (Nov.4)
  8. Homework Questions for Chapter 3 available.(Nov.7)
  9. Homework Answers for Chapter 1, Chapter 2 and Chapter 3 available. (Nov.7)
  10. Midterm Exam I Result posted. (Nov.24)

  11. More(!) Questions for Chapter 3: Probability is posted due to high demand. (Dec.9)

  12. Midterm Exam II: Dec. 26 (Monday) at 16:00.

  13. Homework Answers for Chapter 3 part 2 are posted. (Dec. 17)

  14. Homework Questions for Chapter 4 part 1 and part 2 are posted. (Dec.17)

  15. Homework Answers for Chapter 4 part 1 and part 2 are posted. (Dec.17)

  16. Homework Questions <part1 and part2> and Answers <part1 and part2> for Chapter 5 posted. (Jan.6)

  17. Final Exam Coverage: All chapters.

  18. Midterm Exam II Result posted. (Jan.10)

  19. Final Exam Result posted. (Jan.19)

Personnel

Instructor: Shihomi Ara-Aksoy
(Office: İİBF, İktisat Bölümü, Email: )

Course Information

Schedule: Fridays, 9:00 - 11:45, D10
Office hours:
Tuesdays, Wednesdays from 12:00 - 13:30 or
by Appointment
Course description
/objective:

The purpose of this course is to introduce basic concepts of statistics. Methods of describing data, probability, discrete and continuous random variables and their probability distributions will be discussed. Students are expected to learn the tools for describing and analyzing given data and to be acquainted with probability theory and probability distributions. The topics covered in this course will be a foundation for the courses such as Statistics II and Econometrics. Therefore, make sure to understand each concept clearly.

Texts

Course Syllabus

Lecture Schedule

Week

Contents

Week 1

(Oct. 7)
Topics:
  • Why study statistics?

Week 2

(Oct.14)
Topics:
  • Using Graphs to Describe Data (1)
Readings:
  • Ch. 1

Week 3

(Oct. 21)
Topics:
  • Using Graphs to Describe Data (2)
Readings:
  • Ch. 1

Week 4

(Oct. 28)
Topics:
  • Using Numerical Measures to Describe Data (1)
Readings:
  • Ch. 2

Week 5

(Nov. 4)
Topics:
  • Using Numerical Measures to Describe Data (2)
Readings:
  • Ch. 3

Week 6

(Nov. 11)
Topics:
  • Elements of Chance: Probability Methods (1)
Readings:
  • Ch. 3, Bertsekas: Ch.1

Week 7

(Nov.18)
Topics:
  • Elements of Chance: Probability Methods (2)
Readings:
  • Ch. 3, Bertsekas: Ch.1

Week 8

(TBA)
1st Midterm Exam

Week 9

(Dec. 2)
Topics:
  • Discrete Probability Distributions (1)
Readings:
  • Ch. 4, Bertsekas: Ch.2
Week 10
(Dec.9)
Topics:
  • Discrete Probability Distributions (2)
Readings:
  • Ch. 4, Bertsekas: Ch.2

Week 11

(Dec. 16)
Topics:
  • Discrete Probability Distributions (3)
  • Bernoulli and Poisson processes
Readings:
  • Ch. 4, Bertsekas: Ch.2

Week 12

(Dec. 23)
Topics:
  • Continuous Probability Distributions (1)
Readings:
  • Ch. 5, Bertsekas: Ch.3
During Week 12
2nd Midterm Exam

Week 13

(Dec. 30)
Topics:
  • Continuous Probability Distributions (2)
Readings:
  • Ch. 5, Bertsekas : Ch. 3

Week 14

(Jan. 6)
Topics:
  • Continuous Probability Distributions (3)
Readings:
  • Ch. 5, Bertsekas : Ch. 3

Final Exam

(TBA)
Final Exam

Exams

Grading Policy

1nd Midterm Exam25%
2nd Midterm Exam25%
Final Exam50%

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