MATH 265 • Midterm II + Final • Probability and Statistics I
Her mühendisliğin temelinde var olan Olasılık ve İstatistik konularının uygulamalarını gördüğümüz bu derste sınava yönelik sorular ile konuların en kritik soru tiplerini kolaydan zora çözüp sınavda sürprize yer bırakmıyoruz!
Eğitmenler
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.
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.
Geçme Garantisi
Derslerimize çok güveniyoruz. Dersi geçememen çok zor ama yine de geçemezsen paran iade.
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MATH 265 • Midterm I
Probability and Statistics I
İhsan Altundağ
1299 TL

MATH 265 • Midterm II + Final
Probability and Statistics I
İhsan Altundağ
1499 TL
Konular
Joint Probability Distributions
Discrete Joint Random Variables
Discrete Joint RV Example
Marginal PMF and CDF for Discrete Joint RV
Conditional PMF and CDF for Discrete Joint RV
Continuous Joint Random Variables
Marginal PDF and CDF for Continuous Joint RV
Conditional PDF and CDF for Continuous Joint RV
Mathematical Expectation
Expected Value for Discrete RV
Example 1
Example 2
Variance for Discrete RV
Example 3
Example 4
Expected Value for Continuous RV
Example 5
Example 6
Variance for Continuous RV
Example 7
Expected Value for Discrete Joint RV
Variance for Discrete Joint RV
Example 8
Conditional Expectation for Discrete Joint RV
Example 9
Example 10
Expected Value and Variance for Continuous Joint RV
Conditional Expectation for Continuous Joint RV
Example 11
Example 12
Example 13
Covariance and Variance of Sum
Covariance
Example 1
Example 2
Example 3
Variance of Sums
Example 4
Functions of Random Variables
Continuous One Variable Case
Example 1
Example 2
Continuous Multivariable Case
Example 3
Sample Exam Problems I
Discrete Random Variable 1- Expected Value
Discrete Random Variable 2 - Expected Value
Discrete Random Variable 3 - Variance
Discrete Random Variable 4- Expected Value
Discrete Random Variable 5 - Expected Value
Discrete Random Variable 6 - Expected Value and Variance
Continuous Random Variable 1 - Expected Value
Continuous Random Variable 2 - Expected Value
Continuous Random Variable 3 - Variance
Continuous Random Variable 4 - Expected Value
Continuous Random Variable 5 - Expected Value and Variance
Discrete Joint Distribution 1
Discrete Joint Distribution 2
Discrete Joint Distribution 3
Discrete Joint Distribution 4
Continuous Joint Distribution 1
Continuous Joint Distribution 2
Continuous Joint Distribution 3
Continuous Joint Distribution 4
Continuous Joint Distribution 5
Continuous Joint Distribution 6
Covariance 1
Covariance 2
Covariance 3
Covariance 4
Bernoulli, Binomial, Multinomial and Hypergeometric Distributions
Bernoulli Distribution Part 1
Bernoulli Distribution Part 2
Example 1
Binomial Distribution Part 1
Binomial Distribution Part 2
Example 2
Example 3
Multinomial Distribution
Example 4
Example 5
Hypergeometric Distribution
Example 6
Negative Binomial, Geometric, Poisson Distributions
Negative Binomial Distribution Part 1
Negative Binomial Distribution Part 2
Example 7
Example 8
Geometric Distribution Part 1
Geometric Distribution Part 2
Example 9
Example 10
Poisson Distribution Part 1
Poisson Distribution Part 2
Example 11
Example 12
Poisson Approximation to Binomial Distribution
Example 13
Sample Exam Problems II
Binomial Distribution 1
Binomial Distribution 2
Binomial Distribution 3
Binomial Distribution 4
Multinomial Distribution 1
Multinomial Distribution 2
Poisson distribution 1
Poisson Distribution 2
Poisson Distribution 3
Poisson distribution 4
Hypergeometric Distribution 1
Hypergeometric Distribution 2
Hypergeometric Distribution 3
Hypergeometric Distribution 4
Negative Binomial Distribution 1
Negative Binomial - Geometric Distribution
Geometric Distribution 1
Geometric Distribution 2
Geometric Distribution 3
Normal Distribution
Introduction
Standard Normal Distribution
Reading Z Table - Option 1
Reading Z Table - Option 2
Example 1
Normal Approximation to Binomial Distribution
Example 2
Other Special Continuous Probability Distributions
Continuous Uniform Distribution
Example 1
Example 2
Exponential Distribution
Example 3
Example 4
Memoryless Property
Example 5
Gamma Distribution
Example 6
Relation of Gamma Distribution with Others
Weibull Distribution
Sample Exam Problems III
Continuous Uniform Distribution 1
Continuous Uniform Distribution 2
Continuous Uniform Distribution 3
Exponential Distribution 1
Exponential Distribution 2
Exponential Distribution 3
Exponential Distribution 4
Normal Distribution 1
Normal Distribution 2
Normal Distribution 3
Normal Distribution 4
Normal Distribution 5
Normal Distribution 6
Normal Distribution 7
Normal Approximation to Binomial 1
Normal Approximation to Binomial 2
Fall 2022 Final Problems
Axioms of Probability
Continuous Joint Probability
Continuous Joint Probability
Binomial Distribution
Normal Approximation to Binomial Distribution
Continuous Random Variables & Functions of Random Variables
Değerlendirmeler
Ders İçeriği
Joint Probability Distributions
Discrete Joint Random Variables
Discrete Joint RV Example
Marginal PMF and CDF for Discrete Joint RV
Conditional PMF and CDF for Discrete Joint RV
Continuous Joint Random Variables
Marginal PDF and CDF for Continuous Joint RV
Conditional PDF and CDF for Continuous Joint RV
Mathematical Expectation
Expected Value for Discrete RV
Example 1
Example 2
Variance for Discrete RV
Example 3
Example 4
Expected Value for Continuous RV
Example 5
Example 6
Variance for Continuous RV
Example 7
Expected Value for Discrete Joint RV
Variance for Discrete Joint RV
Example 8
Conditional Expectation for Discrete Joint RV
Example 9
Example 10
Expected Value and Variance for Continuous Joint RV
Conditional Expectation for Continuous Joint RV
Example 11
Example 12
Example 13
Covariance and Variance of Sum
Covariance
Example 1
Example 2
Example 3
Variance of Sums
Example 4
Functions of Random Variables
Continuous One Variable Case
Example 1
Example 2
Continuous Multivariable Case
Example 3
Sample Exam Problems I
Discrete Random Variable 1- Expected Value
Discrete Random Variable 2 - Expected Value
Discrete Random Variable 3 - Variance
Discrete Random Variable 4- Expected Value
Discrete Random Variable 5 - Expected Value
Discrete Random Variable 6 - Expected Value and Variance
Continuous Random Variable 1 - Expected Value
Continuous Random Variable 2 - Expected Value
Continuous Random Variable 3 - Variance
Continuous Random Variable 4 - Expected Value
Continuous Random Variable 5 - Expected Value and Variance
Discrete Joint Distribution 1
Discrete Joint Distribution 2
Discrete Joint Distribution 3
Discrete Joint Distribution 4
Continuous Joint Distribution 1
Continuous Joint Distribution 2
Continuous Joint Distribution 3
Continuous Joint Distribution 4
Continuous Joint Distribution 5
Continuous Joint Distribution 6
Covariance 1
Covariance 2
Covariance 3
Covariance 4
Bernoulli, Binomial, Multinomial and Hypergeometric Distributions
Bernoulli Distribution Part 1
Bernoulli Distribution Part 2
Example 1
Binomial Distribution Part 1
Binomial Distribution Part 2
Example 2
Example 3
Multinomial Distribution
Example 4
Example 5
Hypergeometric Distribution
Example 6
Negative Binomial, Geometric, Poisson Distributions
Negative Binomial Distribution Part 1
Negative Binomial Distribution Part 2
Example 7
Example 8
Geometric Distribution Part 1
Geometric Distribution Part 2
Example 9
Example 10
Poisson Distribution Part 1
Poisson Distribution Part 2
Example 11
Example 12
Poisson Approximation to Binomial Distribution
Example 13
Sample Exam Problems II
Binomial Distribution 1
Binomial Distribution 2
Binomial Distribution 3
Binomial Distribution 4
Multinomial Distribution 1
Multinomial Distribution 2
Poisson distribution 1
Poisson Distribution 2
Poisson Distribution 3
Poisson distribution 4
Hypergeometric Distribution 1
Hypergeometric Distribution 2
Hypergeometric Distribution 3
Hypergeometric Distribution 4
Negative Binomial Distribution 1
Negative Binomial - Geometric Distribution
Geometric Distribution 1
Geometric Distribution 2
Geometric Distribution 3
Normal Distribution
Introduction
Standard Normal Distribution
Reading Z Table - Option 1
Reading Z Table - Option 2
Example 1
Normal Approximation to Binomial Distribution
Example 2
Other Special Continuous Probability Distributions
Continuous Uniform Distribution
Example 1
Example 2
Exponential Distribution
Example 3
Example 4
Memoryless Property
Example 5
Gamma Distribution
Example 6
Relation of Gamma Distribution with Others
Weibull Distribution
Sample Exam Problems III
Continuous Uniform Distribution 1
Continuous Uniform Distribution 2
Continuous Uniform Distribution 3
Exponential Distribution 1
Exponential Distribution 2
Exponential Distribution 3
Exponential Distribution 4
Normal Distribution 1
Normal Distribution 2
Normal Distribution 3
Normal Distribution 4
Normal Distribution 5
Normal Distribution 6
Normal Distribution 7
Normal Approximation to Binomial 1
Normal Approximation to Binomial 2
Fall 2022 Final Problems
Axioms of Probability
Continuous Joint Probability
Continuous Joint Probability
Binomial Distribution
Normal Approximation to Binomial Distribution
Continuous Random Variables & Functions of Random Variables
Geçme Garantisi
Derslerimize çok güveniyoruz. Dersi geçememen çok zor ama yine de geçemezsen paran iade.
Tüm koşullarSıkça Sorulan Sorular
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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.