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ECON 221

Probability and Statistical Distributions

ECON 221 builds the probabilistic vocabulary that the rest of your economics degree quietly assumes you speak — how to reason about uncertainty, summarize messy data, and recognize when a random outcome behaves like a Binomial, a Normal, or something stranger. Expect weekly problem sets that drill distributions and expectations by hand, a lab component for working with real datasets, and two midterms plus a final where you'll be deriving and applying results, not just recalling them. It's the gateway to ECON 222 and every later econometrics course, so the goal isn't memorizing formulas but developing the intuition that lets the Law of Large Numbers and the Central Limit Theorem feel obvious by December.

Credit3ECTS5FacultyFaculty of Economics, Administrative, and Social SciencesBölümEconomicsPreMATH 105MüfredatY2 Güz

Değerlendirme 100% — 5 adım

20%
20%
35%
20%
5%
Midterm:Essay/written Midterm 1, Midterm 2 40%
Final:Essay/written Final 35%
Homework Homework (upto 5) 20%
Lab work Recitations (upto 10) 5%

Haftalık müfredat 14 hafta

Hafta 1
Describing data: Taxonomy of data, Representation of distributions
Hafta 2
Describing data: Measures of central tendency, Measures of dispersion, Chebyshev’s inequality
Hafta 3
Describing data: Measures of association for bivariate data, Recap
Hafta 4
Probability basics: Modeling a random experiment, Probability postulates, Methods of assigning probability
Hafta 5
Probability basics: Classical probability, Relative frequency probability, Subjective probability
Hafta 6
Probability basics: Conditional, Joint and Marginal probabilities, Independence of events, Bayes theorem
Hafta 7
Random variables: Definition, CDF, PDF
Hafta 8
Random variables: Expected value, Variance
Hafta 9
Random variables: Discrete probability laws: Bernoulli, Binomial, Poisson, Hypergeometric, Geometric, Negative Binomial, Discrete Uniform, Triangular
Hafta 10
Random variables: Discrete probability laws: Bernoulli, Binomial, Poisson, Hypergeometric, Geometric, Negative Binomial, Discrete Uniform, Triangular
Hafta 11
Random variables: Continuous probability laws: Uniform, Exponential and Normal
Hafta 12
Random variables: Continuous probability laws: Uniform, Exponential and Normal
Hafta 13
Sampling distributions: Chebyshev’s theorem, Law of Large Numbers theorem, Central Limit Theorem
Hafta 14
Sampling distributions: Sample mean, Sample proportion and Sample variance

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Geçmiş GPA dağılımı 47 dönem · ort. 2.15

DönemCourse CPA
2025-2026 Fall 2.41 10 sec · 259 öğr
2024-2025 Fall 2.27 10 sec · 261 öğr
2024-2025 Spring 2.00 6 sec · 149 öğr
2023-2024 Fall 2.25 11 sec · 249 öğr
2023-2024 Spring 1.89 6 sec · 114 öğr
2022-2023 Fall 2.26 11 sec · 243 öğr
2022-2023 Spring 2.04 7 sec · 147 öğr
2021-2022 Fall 2.06 10 sec · 206 öğr
2021-2022 Spring 2.12 4 sec · 101 öğr
2020-2021 Fall 2.20 10 sec · 222 öğr

Aggregate course GPA — Bilkent STARS'tan public data. Hoca-bazlı per-section detayı için STARS evaluation report →. Öğrenci anket cevapları KVKK kapsamında defter'de tutulmaz.

⚠️ FZ engelleyen şartlar

There is no compulsory or bonus-bearing attendance for any course activity other than the final exam. Failing to take the final exam returns an FX.

Hocalar 1 bu dönem · 37 geçmiş

Bu dönem (2025-2026 Spring) · 6 section
Mustafa Eray Yücel ×6
Geçmişte ders veren (37 kişi)
Tarık Kara, Sezer Kadayıfçılar, Cavit Pakel, İnci Apaydın, Mirza Trokic, Syed Fahri Mahmud, Hakan Berument, Fatin Sezgin, Cemal Deniz Yenigün, Kıvılcım Metin, Ümit Özlale, Bilin Neyaptı, Ashoke Kumar Sinha, Dilek Önkal, Sebastien Blais +22 kişi daha