CE 303 • Midterm II + Final • Introduction to Probability & Statistics for Civil Engineers
Her mühendisliğin temelinde var olan Olasılık ve İstatistik konularının uygulamalarını gördüğümüz bu derste: 1) Special Discrete Random Variables 2) Special Continuous Random Variables 3) Sampling Distributions 4) One-and Two-Sample Estimation Problems 5) One- and Two-Sample Tests of Hypotheses konularını inceliyoruz.
Sınava yönelik sorular ile konuların en kritik soru tiplerini kolaydan zora çözüp sınavda sürprize yer bırakmıyoruz!
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.
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Tüm koşullarPaketi Tamamla
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Konular
Special Discrete Probability 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 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
Special Continuous Probability Distributions
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
Gamma Distribution
Example 7
Relation of Gamma Distribution with Others
Sample Exam Problems I
Binomial Distribution 1
Binomial Distribution 2
Binomial Distribution 3
Binomial Distribution 4
Multinomial Distribution 1
Poisson distribution 1
Poisson Distribution 2
Poisson Distribution 3
Poisson distribution 4
Hypergeometric Distribution 1
Hypergeometric Distribution 2
Negative Binomial Distribution 1
Negative Binomial - Geometric Distribution
Geometric Distribution 1
Geometric Distribution 2
Uniform Distribution 1
Uniform Distribution 2
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
Sampling Distributions: Part 1
Sample Mean
Sample Variance
Example 1
Central Limit Theorem
Example 2
Example 3
Example 4
Example 5
Example 6
Normal Approximation to Binomial Distribution
Normal Approximation to Poisson Distribution
Sampling Distributions: Part 2
Reading Z Table - Option 1
Reading Z Table - Option 2
Reading T Table
Reading Chi Table
Reading F Table
Z Distribution
Example 1
Exam Like Question 1
Chi Square Distribution
Example 2
T Distribution
Example 3
Example 4
Exam Like Question 2
F Distribution
Example 5
Example 6
Chapter Summary
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
Chi Square Distribution 1
Chi Square Distribution 2
Chi Square Distribution 3
Chi Square Distribution 4
F Distribution 1
F Distribution 2
All Distributions 1
All Distributions 2
Interval Estimation - One Sample
Introduction
Table Values
Confidence Interval for Means(Sigma known)
Example 1
Example 2
Example 3
Confidence Interval for Means (sigma unknown)
Example 1
Example 2
Confidence Interval for Proportions
Example 1
Example 2
Confidence Interval for Variance
Example 1
Example 2
Example 3
Interval Estimation - Two Samples
Confidence Interval For Difference Between Means (sigma known)
Example 1
Example 2
Confidence Interval For Difference Between Means (sigma unknown)
Example 1
Example 2
Confidence Interval for Difference Between Proportions
Example 1
Example 2
Confidence Interval for Ratio of Variances
Example
Chapter Summary
Sample Exam Problems III
Unbiased Estimators 1
Unbiased Estimators 2
Unbiased Estimators 3
Efficient Estimators 1
Efficient Estimators 2
Maximum Likelihood Estimators 1
Maximum Likelihood Estimators 2
Confidence Interval Summary
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
C.I. of Proportion 1
C.I. of Proportion 2
C.I. of Variance 1
C.I. of Variance 2
C.I. of Variance 3
C.I. of Difference of Means (Known Variances) 1
C.I. of Difference of Means (Known Variances) 2
C.I. of Difference of Means (Unknown Variances) 1
C.I. of Difference of Means (Unknown Variances) 2
C.I. of Difference of Means (Unknown Variances) 3
C.I. of Difference Between Proportions 1
C.I. of Differences Between Proportions 2
C.I. of Proportion of Variances 1
Hypothesis Testing and Test Procedures
Introduction
Terminology
Example 1
Example 2
Example 3
Hypothesis Testing - One Sample
Introduction
Tests for Mean
Example 1
Example 2
Example 3
Example 4
Tests for Proportion
Example 5
Example 6
Tests for Variances
Example 7
Example 8
Hypothesis Testing - Two Samples
Tests for Difference Between Means
Example 1
Example 2
Example 3
Example 4
Tests for Ratio of Two Variances
Example 5
Example 6
Goodness of Fit Test and Test for Independence
Goodness of Fit Test
Example 1
Example 2
Analysis of Contingency Tables
Example 3
Example 4
Example 5
Sample Exam Problems IV
Hypothesis Testing and Test Procedures 1
Hypothesis Testing and Test Procedures 2
Hypothesis Testing about Population Mean 1
Hypothesis Testing about Population Mean 2
Hypothesis Testing about Population Mean 3
Hypothesis Testing about Population Mean 4
Hypothesis Testing About Population Mean 5
Hypothesis Testing About Population Mean 6
Hypothesis Testing about Proportions 1
Hypothesis Testing about Proportions 2
Hypothesis Testing about Proportions 3
Hypothesis Testing for Variance 1
Hypothesis Testing for Variance 2
Hypothesis Testing for Variance 3
Tests for Difference Between Means 1
Tests for Difference Between Means 2
Tests for Difference Between Means 3
Testing for Ratio of Two Variances 1
Goodness-of-Fit Test 1
Goodness-of-Fit Test 2
Contingency Table 1
Contingency Table 2
Contingency Table 3
Değerlendirmeler
Henüz hiç değerlendirme yok.
Ders İçeriği
Special Discrete Probability 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 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
Special Continuous Probability Distributions
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
Gamma Distribution
Example 7
Relation of Gamma Distribution with Others
Sample Exam Problems I
Binomial Distribution 1
Binomial Distribution 2
Binomial Distribution 3
Binomial Distribution 4
Multinomial Distribution 1
Poisson distribution 1
Poisson Distribution 2
Poisson Distribution 3
Poisson distribution 4
Hypergeometric Distribution 1
Hypergeometric Distribution 2
Negative Binomial Distribution 1
Negative Binomial - Geometric Distribution
Geometric Distribution 1
Geometric Distribution 2
Uniform Distribution 1
Uniform Distribution 2
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
Sampling Distributions: Part 1
Sample Mean
Sample Variance
Example 1
Central Limit Theorem
Example 2
Example 3
Example 4
Example 5
Example 6
Normal Approximation to Binomial Distribution
Normal Approximation to Poisson Distribution
Sampling Distributions: Part 2
Reading Z Table - Option 1
Reading Z Table - Option 2
Reading T Table
Reading Chi Table
Reading F Table
Z Distribution
Example 1
Exam Like Question 1
Chi Square Distribution
Example 2
T Distribution
Example 3
Example 4
Exam Like Question 2
F Distribution
Example 5
Example 6
Chapter Summary
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
Chi Square Distribution 1
Chi Square Distribution 2
Chi Square Distribution 3
Chi Square Distribution 4
F Distribution 1
F Distribution 2
All Distributions 1
All Distributions 2
Interval Estimation - One Sample
Introduction
Table Values
Confidence Interval for Means(Sigma known)
Example 1
Example 2
Example 3
Confidence Interval for Means (sigma unknown)
Example 1
Example 2
Confidence Interval for Proportions
Example 1
Example 2
Confidence Interval for Variance
Example 1
Example 2
Example 3
Interval Estimation - Two Samples
Confidence Interval For Difference Between Means (sigma known)
Example 1
Example 2
Confidence Interval For Difference Between Means (sigma unknown)
Example 1
Example 2
Confidence Interval for Difference Between Proportions
Example 1
Example 2
Confidence Interval for Ratio of Variances
Example
Chapter Summary
Sample Exam Problems III
Unbiased Estimators 1
Unbiased Estimators 2
Unbiased Estimators 3
Efficient Estimators 1
Efficient Estimators 2
Maximum Likelihood Estimators 1
Maximum Likelihood Estimators 2
Confidence Interval Summary
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
C.I. of Proportion 1
C.I. of Proportion 2
C.I. of Variance 1
C.I. of Variance 2
C.I. of Variance 3
C.I. of Difference of Means (Known Variances) 1
C.I. of Difference of Means (Known Variances) 2
C.I. of Difference of Means (Unknown Variances) 1
C.I. of Difference of Means (Unknown Variances) 2
C.I. of Difference of Means (Unknown Variances) 3
C.I. of Difference Between Proportions 1
C.I. of Differences Between Proportions 2
C.I. of Proportion of Variances 1
Hypothesis Testing and Test Procedures
Introduction
Terminology
Example 1
Example 2
Example 3
Hypothesis Testing - One Sample
Introduction
Tests for Mean
Example 1
Example 2
Example 3
Example 4
Tests for Proportion
Example 5
Example 6
Tests for Variances
Example 7
Example 8
Hypothesis Testing - Two Samples
Tests for Difference Between Means
Example 1
Example 2
Example 3
Example 4
Tests for Ratio of Two Variances
Example 5
Example 6
Goodness of Fit Test and Test for Independence
Goodness of Fit Test
Example 1
Example 2
Analysis of Contingency Tables
Example 3
Example 4
Example 5
Sample Exam Problems IV
Hypothesis Testing and Test Procedures 1
Hypothesis Testing and Test Procedures 2
Hypothesis Testing about Population Mean 1
Hypothesis Testing about Population Mean 2
Hypothesis Testing about Population Mean 3
Hypothesis Testing about Population Mean 4
Hypothesis Testing About Population Mean 5
Hypothesis Testing About Population Mean 6
Hypothesis Testing about Proportions 1
Hypothesis Testing about Proportions 2
Hypothesis Testing about Proportions 3
Hypothesis Testing for Variance 1
Hypothesis Testing for Variance 2
Hypothesis Testing for Variance 3
Tests for Difference Between Means 1
Tests for Difference Between Means 2
Tests for Difference Between Means 3
Testing for Ratio of Two Variances 1
Goodness-of-Fit Test 1
Goodness-of-Fit Test 2
Contingency Table 1
Contingency Table 2
Contingency Table 3
Memnuniyet Garantisi
Bu dersi alma kararını senin için kolaylaştıralım. Eğer memnun kalmazsan 30 gün içinde bize ulaş, 3'ten fazla içerik tamamlamadıysan iade alabilirsin.
Tüm koşullarSıkça 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.