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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
Sample Final Problems I
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
Point Estimation
Introduction
Unbiased Estimators 1
Unbiased Estimators 2
Exam like Question 1
Exam like Question 2
Method of Maximum Likelihood
Example 1
Example 2
Confidence Interval for Single Population
Introduction
Table Values
Confidence Interval for Means( Sigma known)
Example 1
Example 2
Confidence Interval for Means (sigma unknown)
Example 1
Example 2
Confidence Interval for Proportions
Example 1
Example 2
Confidence Interval for Two Populations
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 Final Problems II
Point Estimation 1
Point Estimation 2
Point Estimation 3
Confidence Interval Summary
C.I. of Mean (Known Variance) 1
C.I. of Mean (Known Variance) 2
C.I. of Mean (Unknown Variance) 1
C.I. of Mean (Unknown Variance) 2
C.I. of Proportion 1
C.I. of Proportion 2
C.I. of Variance 1
C.I. of Variance 2
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 Between Proportions 1
C.I. of Differences Between Proportions 2
C.I. of Proportion of Variances 1
Hypothesis Testing and Properties
Introduction
Terminology
Example 1
Example 2
Power Function of a Test
Example 3
Hypothesis Testing Single Population
Introduction
Tests for Mean
Example 1
Example 2
Example 3
Tests for Proportion
Example 4
Example 5
Tests for Variances
Example 6
Example 7
Hypothesis Testing Two Populations
Tests for Difference Between Means
Example 1
Example 2
Tests for Ratio of Two Variances
Example 3
Example 4
Goodness of Fit Test
Introduction
Example 1
Example 2
Analysis of Contingency Tables
Example 3
Example 4
Exam Like Question 2
Sample Final Problems III
Hypothesis Testing Basics 1
Hypothesis Testing Basics 2
Testing for the Mean 1
Testing for the Mean 2
Testing for the Mean 3
Testing for the Mean 4
Testing for Proportions 1
Testing for Variance 1
Testing for Variance 2
Testing for Variance 3
Testing for Difference Between Means 1
Testing for Difference Between Means 2
Testing for Difference Between Means 3
Testing for Ratio of Two Variances 1
Testing for Ratio of Two Variances 2
Goodness of Fit Test 1
Goodness of Fit Test 2
Simple Linear Regression
Regression Equations
Example 1
Example 2
Linear Regression
Example 3
Example 4
Example 5
Multiple Linear Regression
Introduction
Example 1
Errors in Multiple Linear Regression
Coefficients in Multiple Linear Regression
Tests for Significance of Regression
Tests for Individual Regression Coefficient
Coefficient of Determination
Example 2
Example 3
Sample Final Problems IV
Simple Linear Regression 1
Simple Linear Regression 2
Simple Linear Regression 3
Simple Linear Regression 4
Multiple Linear Regression 1
Multiple Linear Regression 2
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.
2011 yılında Endüstri Mühendisliği okumak için başladığım Sabancı Üniversitesi'nden 2018 yılında Bilgisayar Mühendisi olarak mezun oldum. 11 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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