ECON 221 • Final • Introduction to Probability and Statistics I
Eğitmenler
İhsan Altundağ
Eğitmen
2007 yılında Galatasaray Üniversitesi Bilgisayar Mühendisliği bölümünden birincilikle mezun olduktan sonra Fransa'da Kriptoloji üzerine Fransa hükümeti tarafından verilen bursla yüksek lisans yaptım. Devamında ikinci kez sınava girerek Boğaziçi Matematik bölümünü de bitirdim. Yaklaşık 15 yıldır üniversite öğrencilerine dersler vermekteyim.
Ömer Faruk Altun
Co-founder & Head of Education
2011 yılında Endüstri Mühendisliği okumak için başladığım Sabancı Üniversitesi'nden 2018 yılında Bilgisayar Mühendisi olarak mezun oldum. 13 yıldır Altun ismiyle başta Sabancı Üniversitesi olmak üzere çeşitli okullarda Endüstri ve Bilgisayar Mühendisliği alanlarında ders vermekteyim. Unicourse'ta sunduğum derslerin yanında eğitim departmanının da sorumluluğunu üstlenmekteyim.
Paketi Tamamla
🎓 Bilkent Üniversitesinde öğrencilerin %92'si tüm paketi alarak çalışıyor.
Konular
Continuous Random Variables
Probability Density Function - PDF
Example 1
Cumulative Distribution Function - CDF
Example 2
Expected Value
Expected Value - Example 1
Expected Value - Example 2
Variance
Variance - Example 1
End of Topic Questions
Continuous Random Variable 1
Continuous Random Variable 2
Continuous Random Variable 3
Continuous Random Variable 4
Continuous Random Variable 5 - Expected Value
Continuous Random Variable 6 - Expected Value
Continuous Random Variable 7 - Variance
Continous Random Variable 8 - Expected Value
Continuous Probability Laws
Uniform Distribution
Example 1
Example 2
Exponential Distribution
Example 3
Example 4
Memoryless Property
Example 5
Normal Distribution
Standard Normal Distribution
Reading Z Table - Option 1
Reading Z Table - Option 2
Example 6
End of Topic Questions
Continuous Uniform Distribution
Normal Distribution 1
Normal Distribution 2
Normal Distribution 3
Normal Distribution 4
Normal Distribution 5
Normal Distribution 6
Normal Distribution 7
Exponential Distribution 1
Exponential Distribution 2
Exponential Distribution 3
Limit Theorems & Sampling Distribution of Mean
Markov's Inequality
Proof of Markov's Inequality
Example 1
Chebyshev's Inequality
Example 2
Sample Mean
Sample Variance
Example 3
Law of Large Numbers
Central Limit Theorem
Example 1
Example 2
Example 3
Example 4
Example 5
Normal Approximation to Binomial Distribution
Normal Approximation to Poisson Distribution
End of Topic Questions
Chebyshev's Theorem 1
Chebyshev's Theorem 2
Sample Mean and Variance 1
Sample Mean and Variance 2
Central Limit Theorem 1
Central Limit Theorem 2
Central Limit Theorem 3
Normal Approximation to Binomial 1
Normal Approximation to Binomial 2
Sampling Distribution 1
Sampling Distribution 2 - Chi Square Distribution
Sampling Distribution 3 - Chi Square Distribution
Sampling Distribution 4 - Chi Square Distribution
Sampling Distribution 5 - T Distribution
Sampling Distribution 6 - T Distribution
Final Questions from 2021 and 2022
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Question 11
Question 12
Question 13
Question 14
Question 15
Question 16
Question 17
Question 18
Spring 2025 Final Exam
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Sample Final Problems
Binomial Distribution 1
Binomial Distribution 2
Binomial Distribution 3
Poisson Distribution 1
Poisson Distribution 2
Poisson Approximation to Binomial Distribution 1
Geometric Distribution 1
Geometric Distribution 2
Uniform Distribution 1
Uniform Distribution 2
Exponential Distribution 1
Exponential Distribution 2
Normal Distribution 1
Normal Distribution 2
Normal Distribution 3
Normal Distribution 4
Normal Distribution 5
Sampling Distribution 1
Sampling Distribution 2
Sampling Distribution 3
Sampling Distribution 4
Sampling Distribution 5
Sampling Distribution 6
Değerlendirmeler
iyi
Ders İçeriği
Continuous Random Variables
Probability Density Function - PDF
Example 1
Cumulative Distribution Function - CDF
Example 2
Expected Value
Expected Value - Example 1
Expected Value - Example 2
Variance
Variance - Example 1
End of Topic Questions
Continuous Random Variable 1
Continuous Random Variable 2
Continuous Random Variable 3
Continuous Random Variable 4
Continuous Random Variable 5 - Expected Value
Continuous Random Variable 6 - Expected Value
Continuous Random Variable 7 - Variance
Continous Random Variable 8 - Expected Value
Continuous Probability Laws
Uniform Distribution
Example 1
Example 2
Exponential Distribution
Example 3
Example 4
Memoryless Property
Example 5
Normal Distribution
Standard Normal Distribution
Reading Z Table - Option 1
Reading Z Table - Option 2
Example 6
End of Topic Questions
Continuous Uniform Distribution
Normal Distribution 1
Normal Distribution 2
Normal Distribution 3
Normal Distribution 4
Normal Distribution 5
Normal Distribution 6
Normal Distribution 7
Exponential Distribution 1
Exponential Distribution 2
Exponential Distribution 3
Limit Theorems & Sampling Distribution of Mean
Markov's Inequality
Proof of Markov's Inequality
Example 1
Chebyshev's Inequality
Example 2
Sample Mean
Sample Variance
Example 3
Law of Large Numbers
Central Limit Theorem
Example 1
Example 2
Example 3
Example 4
Example 5
Normal Approximation to Binomial Distribution
Normal Approximation to Poisson Distribution
End of Topic Questions
Chebyshev's Theorem 1
Chebyshev's Theorem 2
Sample Mean and Variance 1
Sample Mean and Variance 2
Central Limit Theorem 1
Central Limit Theorem 2
Central Limit Theorem 3
Normal Approximation to Binomial 1
Normal Approximation to Binomial 2
Sampling Distribution 1
Sampling Distribution 2 - Chi Square Distribution
Sampling Distribution 3 - Chi Square Distribution
Sampling Distribution 4 - Chi Square Distribution
Sampling Distribution 5 - T Distribution
Sampling Distribution 6 - T Distribution
Final Questions from 2021 and 2022
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Question 11
Question 12
Question 13
Question 14
Question 15
Question 16
Question 17
Question 18
Spring 2025 Final Exam
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Sample Final Problems
Binomial Distribution 1
Binomial Distribution 2
Binomial Distribution 3
Poisson Distribution 1
Poisson Distribution 2
Poisson Approximation to Binomial Distribution 1
Geometric Distribution 1
Geometric Distribution 2
Uniform Distribution 1
Uniform Distribution 2
Exponential Distribution 1
Exponential Distribution 2
Normal Distribution 1
Normal Distribution 2
Normal Distribution 3
Normal Distribution 4
Normal Distribution 5
Sampling Distribution 1
Sampling Distribution 2
Sampling Distribution 3
Sampling Distribution 4
Sampling Distribution 5
Sampling Distribution 6
Sıkça Sorulan Sorular
Örneğin, Koç Üniversitesi - MATH 101 (Calculus) veya başka bir okulun benzer dersi olsun, paketlerimiz tam da o derse göre tasarlanır. Böylece nokta atışı çalışır, zaman kazanırsın.
Sınava özel videolar —konu anlatımları, çıkmış sorular ve çözümleri, özet notlar—içerir. Sınavda sıkça çıkan soruları hedefler. Eğitmenlerimiz, üniversitenin akademik takvimini takip ederek paketleri sürekli günceller. Böylece, gereksiz detaylarla vakit kaybetmeden başarını artırmaya odaklanabilirsin.

