MATH 224 • Midterm II + Final • Probability and Statistics for Engineering
Bu ders ile MATH 224 sınavı için temel konseptleri çok iyi anlamakla kalmayıp sınava girmeye de tamamen hazır olacaksın.
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.
Tüm koşullarPaketi Tamamla
🎓 MEF Üniversitesinde öğrencilerin %92'si tüm paketi alarak çalışıyor.
Konular
Multivariate Probability Distributions (Discrete) (Review)
Probability Mass Function
PMF Example
Marginal PMF and CDF
Expected Value
Variance
Expected Value and Variance Example
Conditional PMF and CDF
Conditional Expectation
End of Topic Example - Part I
End of Topic Example - Part II
Multivariate Probability Distributions (Continuous)
Introduction
Marginal PDF and CDF
Expected Value and Variance
Conditional PDF and CDF
Conditional Expectation
Example 1
Example 2
Example 3
Covariance and Correlation
Covariance
Example 1 (Discrete)
Example 2 (Continuous)
Example 3 (Continuous)
Variance of Sums
Example 4
Correlation
Example 5
Sample Exam Problems I
Discrete Joint Probability 1
Discrete Joint Probability 2
Discrete Joint Probability 3
Discrete Joint Probability 4
Discrete Joint Probability 5
Continuous Joint Probability 1
Continuous Joint Probability 2
Continuous Joint Probability 3
Continuous Joint Probability 4
Continuous Joint Probability 5
Continuous Joint Probability 6
Continuous Joint Probability 7
Continuous Joint Probability 8
Covariance 1
Covariance 2
Covariance 3
Covariance 4
Covariance 5
Statistics & Sampling & Sampling Distributions
Sample Mean
Sample Variance
Reading Z Table Option 1 (Review)
Reading Z Table Option 2 (Review)
Central Limit Theorem
Example 1
Example 2
Example 3
Example 4
Example 5
Normal Approximation to Binomial Distribution
Normal Approximation to Poisson Distribution
Z Distribution
Example 1
Exam Like Question 1
T Distribution
Example 3
Example 4
Exam Like Question 2
Sample Exam Problems II
Z Distribution 1
Z Distribution 2
Z Distribution 3
Z Distribution 4
Z Distribution 5
Z Distribution 6
Z Distribution 7
Z Distribution 8
Z Distribution 9
Z Distribution 10
Normal Approximation to Binomial Distribution 1
Normal Approximation to Binomial Distribution 2
Normal Approximation to Binomial Distribution 3
T Distribution 1
T Distribution 2
T Distribution 3
Point Estimation
Introduction
Unbiased Estimators 1
Unbiased Estimators 2
Exam like Question 1
Exam like Question 2
Exam like Question 3
Efficient Estimators
Exam like Question 4
Exam Like Question 5
Confidence Interval for Mean
Confidence Interval for Means(Sigma known)
Example 1
Example 2
Example 3
Exam Like Question 1
Confidence Interval for Means (sigma unknown)
Example 4
Example 5
Sample Exam Problems III
Unbiased Estimators 1
Unbiased Estimators 2
Unbiased Estimators 3
Efficient Estimators 1
Efficient Estimators 2
C.I. of Mean (Known Variance) 1
C.I. of Mean (Known Variance) 2
C.I. of Mean (Known Variance) 3
C.I. of Mean (Unknown Variance) 1
C.I. of Mean (Unknown Variance) 2
C.I. of Mean (Unknown Variance) 3
Hypothesis Testing for Mean
Introduction
Tests for Mean
Example 1
Example 2
Example 3
Example 4
Exam like Question 1
Exam like Question 2
Simple Linear Regression
Regression Equations
Example 1
Example 2
Linear Regression
Example 3
Example 4
Example 5
Sample Exam Problems IV
Testing for the Mean 1
Testing for the Mean 2
Testing for the Mean 3
Testing for the Mean 4
Testing for the Mean 5
Testing for the Mean 6
Testing for the Mean 7
Testing for the Mean 8
Testing for the Mean 9
Testing for the Mean 10
Testing for the Mean 11
Simple Linear Regression 1
Simple Linear Regression 2
Simple Linear Regression 3
Değerlendirmeler
Henüz hiç değerlendirme yok.
Ders İçeriği
Multivariate Probability Distributions (Discrete) (Review)
Probability Mass Function
PMF Example
Marginal PMF and CDF
Expected Value
Variance
Expected Value and Variance Example
Conditional PMF and CDF
Conditional Expectation
End of Topic Example - Part I
End of Topic Example - Part II
Multivariate Probability Distributions (Continuous)
Introduction
Marginal PDF and CDF
Expected Value and Variance
Conditional PDF and CDF
Conditional Expectation
Example 1
Example 2
Example 3
Covariance and Correlation
Covariance
Example 1 (Discrete)
Example 2 (Continuous)
Example 3 (Continuous)
Variance of Sums
Example 4
Correlation
Example 5
Sample Exam Problems I
Discrete Joint Probability 1
Discrete Joint Probability 2
Discrete Joint Probability 3
Discrete Joint Probability 4
Discrete Joint Probability 5
Continuous Joint Probability 1
Continuous Joint Probability 2
Continuous Joint Probability 3
Continuous Joint Probability 4
Continuous Joint Probability 5
Continuous Joint Probability 6
Continuous Joint Probability 7
Continuous Joint Probability 8
Covariance 1
Covariance 2
Covariance 3
Covariance 4
Covariance 5
Statistics & Sampling & Sampling Distributions
Sample Mean
Sample Variance
Reading Z Table Option 1 (Review)
Reading Z Table Option 2 (Review)
Central Limit Theorem
Example 1
Example 2
Example 3
Example 4
Example 5
Normal Approximation to Binomial Distribution
Normal Approximation to Poisson Distribution
Z Distribution
Example 1
Exam Like Question 1
T Distribution
Example 3
Example 4
Exam Like Question 2
Sample Exam Problems II
Z Distribution 1
Z Distribution 2
Z Distribution 3
Z Distribution 4
Z Distribution 5
Z Distribution 6
Z Distribution 7
Z Distribution 8
Z Distribution 9
Z Distribution 10
Normal Approximation to Binomial Distribution 1
Normal Approximation to Binomial Distribution 2
Normal Approximation to Binomial Distribution 3
T Distribution 1
T Distribution 2
T Distribution 3
Point Estimation
Introduction
Unbiased Estimators 1
Unbiased Estimators 2
Exam like Question 1
Exam like Question 2
Exam like Question 3
Efficient Estimators
Exam like Question 4
Exam Like Question 5
Confidence Interval for Mean
Confidence Interval for Means(Sigma known)
Example 1
Example 2
Example 3
Exam Like Question 1
Confidence Interval for Means (sigma unknown)
Example 4
Example 5
Sample Exam Problems III
Unbiased Estimators 1
Unbiased Estimators 2
Unbiased Estimators 3
Efficient Estimators 1
Efficient Estimators 2
C.I. of Mean (Known Variance) 1
C.I. of Mean (Known Variance) 2
C.I. of Mean (Known Variance) 3
C.I. of Mean (Unknown Variance) 1
C.I. of Mean (Unknown Variance) 2
C.I. of Mean (Unknown Variance) 3
Hypothesis Testing for Mean
Introduction
Tests for Mean
Example 1
Example 2
Example 3
Example 4
Exam like Question 1
Exam like Question 2
Simple Linear Regression
Regression Equations
Example 1
Example 2
Linear Regression
Example 3
Example 4
Example 5
Sample Exam Problems IV
Testing for the Mean 1
Testing for the Mean 2
Testing for the Mean 3
Testing for the Mean 4
Testing for the Mean 5
Testing for the Mean 6
Testing for the Mean 7
Testing for the Mean 8
Testing for the Mean 9
Testing for the Mean 10
Testing for the Mean 11
Simple Linear Regression 1
Simple Linear Regression 2
Simple Linear Regression 3
Geçme Garantisi
Derslerimize çok güveniyoruz. Dersi geçememen çok zor ama yine de geçemezsen paran iade.
Tüm koşullarSıkça Sorulan Sorular
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