IE 2532 • Tüm Sınavlar • Statistics for Engineers
Her mühendisliğin temelinde var olan Olasılık ve İstatistik konularının uygulamalarını gördüğümüz bu derste: 1) Probability 2) Discrete Random Variables 3) Discrete Probability Distributions 4) Continuous Random Variables 5) Continuous Probability Distributions 6) Central Limit Theorem 7) Hypothesis Testing konularını inceliyoruz.
Sınava yönelik sorular ile konuların en kritik soru tiplerini kolaydan zora çözüp sınavda sürprize yer bırakmıyoruz!
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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 güveniyoruz. Olur da sınavlarına bizimle hazırlandığın halde dersten kalırsan, iade alabilirsin. Koşullar
Konular
Special Discrete Probability Distributions (Review)
14 konu anlatımı
Bernoulli Distribution Part 1
Bernoulli Distribution Part 2
Example 1
Example 2
Binomial Distribution Part 1
Binomial Distribution Part 2
Example 3
Example 4
Poisson Distribution Part 1
Poisson Distribution Part 2
Example 5
Example 6
Poisson Approximation to Binomial Distribution
Example 7
Descriptive Statistics
23 konu anlatımı
Introduction
Frequency Distribution
Example 1
Relative Frequency Distribution
Example 2
Cumulative Frequency Distribution
Example 3
Frequency Histogram
Measures of Central Tendancy
Example 4
Measures of Dispersion
Example 5
Example 6
Example 7
Skewness and Kurtosis
Stem and Leaf Diagram
Example 8
Example 9
Box and Whisker Plot
Example 10
Comparing Boxplots
Example 11
Example 12
Sample Midterm Problems I
6 soru
Descriptive Statistics
Descriptive Statistics
Descriptive Statistics
Descriptive Statistics
Descriptive Statistics
Descriptive Statistics
Normal Distribution
6 konu anlatımı
Normal Distribution
Standard Normal Distribution
Reading Z Table Option 1
Reading Z Table Option 2
Example 5
Example 6
Sampling Theory and Central Limit Theorem
11 konu anlatımı
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
Sample Midterm Problems II
18 soru
Normal Distribution
Normal Distribution
Normal Distribution
Normal Distribution
Normal Distribution
Normal Distribution
Central Limit Theorem
Central Limit Theorem
Central Limit Theorem
Central Limit Theorem
Central Limit Theorem
Central Limit Theorem
Central Limit Theorem
Central Limit Theorem
Central Limit Theorem
Normal Approximation to Binomial Distribution 1
Normal Approximation to Binomial Distribution 2
Normal Approximation to Binomial Distribution 3
Point Estimation Properties
8 konu anlatımı
Introduction
Unbiased Estimators 1
Unbiased Estimators 2
Efficient Estimators
Example 1
Example 2
Consistent Estimators 1
Consistent Estimators 2
Method of Moments & Maximum Likelihood Estimators
3 konu anlatımı · 8 soru
Method of Moments
Example 1
Example 2
Example 3
Example 4
Method of Maximum Likelihood
Example 5
Example 6
Example 7
Example 8
Chapter Summary
Confidence Interval - One Population
16 konu anlatımı
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
Sample Midterm Problems III
27 soru
Unbiased Estimator 1
Unbiased Estimator 2
Unbiased Estimator 3
Consistent Estimator 1
Consistent Estimator 2
Unbiased and Consistent Estimator 1
Unbiased and Consistent Estimator 2
Efficient Estimator
Maximum Likelihood Estimators 1
Maximum Likelihood Estimators 2
Maximum Likelihood Estimators 3
Maximum Likelihood and Method of Moment Estimators
Maximum Likelihood and Method of Moment Estimators
Point Estimation - All Properties 1
Point Estimation - All Properties 2
Confidence Interval of Mean (Known Variance)
Confidence Interval of Mean (Known Variance)
Confidence Interval of Mean (Known Variance)
Confidence Interval of Mean (Known Variance)
Confidence Interval of Mean (Unknown Variance)
Confidence Interval of Mean (Unknown Variance)
Confidence Interval of Mean (Unknown Variance)
Confidence Interval of Proportion
Confidence Interval of Proportion
Confidence Interval of Variance
Confidence Interval of Variance
Confidence Interval of Variance
(NEW) Spring 2024 Midterm Problems (NEW)
4 soru
Unbiased and Efficient Estimator
Confidence Interval for Mean and Central Limit Theorem
Confidence Interval for Variance
Method of Moments and Maximum Likelihood Estimator
(NEW) Selected Questions From Recitations and Homework (NEW)
13 soru
Unbiased and Efficient Estimator
Unbiased and Efficient Estimator
Unbiased and Efficient Estimator
Unbiased and Efficient Estimator
Unbiased and Efficient Estimator
Normal Approximation to Binomial Distribution
Normal Approximation to Poisson Distribution
Central Limit Theorem
Linear Combination of Normal Random Variables
Confidence Interval for Mean
Confidence Interval for Mean
Confidence Interval for Variances
Confidence Interval for Proportion
Tests of Hypotheses Based on a Single Sample
12 konu anlatımı
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
Tests of Hypotheses Based on Two Samples
8 konu anlatımı
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 Tests and Test for Independence
5 konu anlatımı · 2 soru
Goodness of Fit Test
Example 1
Example 2
Analysis of Contingency Tables
Example 3
Example 4
Example 5
Sample Final Problems I
16 soru
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 Proportions
Testing for Variance 1
Testing for Variance 2
Test for Difference Between Means 1
Test for Difference Between Means 2
Test for Ratio of Two Variances
Test of Independence 1
Test of Independence 2
Goodness of Fit Test 1
Goodness of Fit Test 2
Simple Linear Regression and Correlation
15 konu anlatımı
Regression Equations
Example 1
Example 2
Linear Regression
Example 3
Example 4
Example 5
Example 6
Errors in SLR
Example 7
Some Important Formulas
Slope Paremeter
Test for Slope Parameter
Confidence Interval for Slope Parameter
Example 8
Multiple Regression Analysis
9 konu anlatımı
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
ANOVA
6 konu anlatımı
Introduction
Anova Test Procedure
Decision Step of the Test
Example 1
Example 2
Example 3
Sample Final Problems II
11 soru
Simple Linear Regression 1
Simple Linear Regression 2
Simple Linear Regression 3
Simple Linear Regression 4
Simple Linear Regression 5
Simple Linear Regression 6
Simple Linear Regression 7
Simple Linear Regression 8
Simple Linear Regression 9
Multiple Linear Regression 1
Multiple Linear Regression 2