ENGR 201 • Tüm Sınavlar • Statistics for Engineers
Bu ders ile ENGR 201 sınavı dersindeki temel olasılık ve istatistik konseptleri olan: Permutation, Combination, Binomial Theorem, Rules of Probability, Conditional Probability, Independence, Bayes Theorem, Random Variable, PDF, CDF, Expected Value, Variance, Special Distributions kavramlarını çok iyi öğreneceksin ve her konu için bolca çıkmış sınav sorusuyla antreman yapacaksın.
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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.
Konular
Sampling and Descriptive Statistics
17 konu anlatımı
Introduction
Frequency Distribution
Example 1
Relative Frequency Distribution
Example 2
Cumulative Frequency Distribution
Example 3
Frequency Histogram
Measures of Central Tendancy
Example 7
Measures of Dispersion
Example 8
Example 9
Example 10
Example 11
Example 12
Example 13
Counting, Combination and Permutation
14 konu anlatımı
Basic Principles of Counting
Counting Examples
Permutations
Permutations Example
Groups and Circular Permutation Example
Identical Objects Example 1
Identical Objects Example 2
Identical Objects Example 3
Combination
n choose r
Committee Example 1
Committee Example 2
Ball Example 1
Ball Example 2
Axioms of Probability
11 konu anlatımı
Sample Space and Events
Probability
Axioms of Probability
Some Rules
Coin Example
Dice Example
Card Example 1
Card Example 2
Ball Example
Set Example
Birthday Example
Conditional Probability, Bayes' Rule and Independence
14 konu anlatımı
Conditioning Events
Total Probability Rule
Example 1
Example 2
Example 3
Example 4
Example 5
Example 6
Bayes' Rule
Bayes' Rule Example 1
Bayes' Rule Example 2
Independence
Independence Example 1
Independence Example 2
Sample Midterm Problems I
24 soru
Counting 1
Counting 2
Counting 3
Counting 4
Axioms of Probability 1
Axioms of Probability 2
Axioms of Probability 3
Axioms of Probability 4
Conditional Probability 1
Conditional Probability 2
Conditional Probability 3
Conditional Probability 4
Independence 1
Independence 2
Conditional Probability and Independence
Bayes' Rule 1
Bayes' Rule 2
Bayes' Rule 3
Bayes' Rule 4
Bayes' Rule 5
Bayes' Rule 6
Bayes' Rule 7
Bayes' Rule 8
Bayes' Rule 9
Discrete Random Variables
12 konu anlatımı
Random Variables
Probability Mass Function
PMF Example 1
PMF Example 2
Cumulative Distribution Function
CDF Example 1
Expected Value
Expected Value Example 1
Expected Value Example 2
Variance
Variance Example 1
Variance Example 2
Special Discrete Distributions
18 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
Geometric Distribution Part 1
Geometric Distribution Part 2
Example 8
Example 9
Sample Midterm Problems II
22 soru
Discrete Random Variables 1
Discrete Random Variables 2
Discrete Random Variables 3
Discrete Random Variables 4
Discrete Random Variables 5
Discrete Random Variables 6
Discrete Random Variables 7
Discrete Random Variables 8
Discrete Random Variables 9
Discrete Random Variables 10
Discrete Random Variables 11
Binomial Distribution 1
Binomial Distribution 2
Binomial Distribution 3
Binomial Distribution 4
Poisson distribution 1
Poisson Distribution 2
Poisson Distribution 3
Poisson distribution 4
Geometric Distribution 1
Geometric Distribution 2
Geometric Distribution 3
Continuous Random Variables
9 konu anlatımı
Probability Density Function - PDF
Example 1
Cumulative Distribution Function - CDF
Example 2
Expected Value
Expected Value - Example 1
Expected Value - Example 2
Variance
Variance - Example 1
Special Continuous Distributions
10 konu anlatımı
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
Sample Midterm Problems III
17 soru
Continuous Random Variables 1
Continuous Random Variables 2
Continuous Random Variables 3
Continuous Random Variables 4
Continuous Random Variables 5
Continuous Random Variables 6
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
Problems to Solve Before the Exam
13 soru
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Question 11
Question 12
Question 13
Special Continuous Probability Distributions
13 konu anlatımı
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
Sample Midterm Problems I
25 soru
Binomial Distribution 1
Binomial Distribution 2
Binomial Distribution 3
Binomial Distribution 4
Poisson distribution 1
Poisson Distribution 2
Poisson Distribution 3
Poisson distribution 4
Geometric Distribution 1
Geometric Distribution 2
Geometric Distribution 3
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
Discrete Joint Probability
10 konu anlatımı
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
Continuous Joint Probability
8 konu anlatımı
Introduction
Marginal PDF and CDF
Expected Value and Variance
Conditional PDF and CDF
Conditional Expectation
Example 1
Example 2
Example 3
Covariance and Correlation Coefficient
8 konu anlatımı
Covariance 1
Covariance 2
Covariance 3
Covariance 4
Variance of Sums
Example 1
Correlation
Example 2
Propagation of Error
8 konu anlatımı
Introduction
Computing Uncertainities 1
Example 1
Computing Uncertainties 2
Uncertainties for Functions of One Measurement
Example 2
Uncertainties for Functions of Several Measurements
Example 3
Sample Midterm Problems II
21 soru
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
Continuous Joint Probability 9
Continuous Joint Probability 10
Covariance and Correlation 1
Covariance and Correlation 2
Covariance and Correlation 3
Covariance and Correlation 4
Covariance and Correlation 5
Covariance and Correlation 6
Central Limit Theorem
8 konu anlatımı
Introduction
Example 1
Example 2
Example 3
Example 4
Example 5
Normal Approximation to Binomial Distribution
Normal Approximation to Poisson Distribution
Point Estimation
8 konu anlatımı · 11 soru
Introduction
Unbiased Estimators 1
Unbiased Estimators 2
Example 1
Example 2
Example 3
Example 4
Example 5
Efficient Estimators
Example 6
Consistent Estimators 1
Consistent Estimators 2
Consistent Estimators 3
Example 7
Method of Maximum Likelihood
Example 8
Example 9
Example 10
Example 11
Sample Midterm Problems III
17 soru
Central Limit Theorem 1
Central Limit Theorem 2
Central Limit Theorem 3
Central Limit Theorem 4
Central Limit Theorem 5
Central Limit Theorem 6
Normal Approximation to Binomial 1
Normal Approximation to Binomial 2
Unbiased Estimator 1
Unbiased Estimator 2
Consistent Estimator 1
Consistent Estimator 2
Unbiased and Consistent Estimator 1
Unbiased and Consistent Estimator 2
Maximum Likelihood Estimators 1
Maximum Likelihood Estimators 2
Maximum Likelihood Estimators 3
PAST EXAM QUESTIONS
8 soru
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Reading Tables (Review)
3 konu anlatımı
Z Table (Option 1)
Z Table (Option 2)
Reading T Table
Sampling Distributions (Review)
13 konu anlatımı · 1 soru
Sample Mean
Sample Variance
Central Limit Theorem
Example 1
Example 2
Example 3
Example 4
Example 5
Z Distribution
Example 1
Exam Like Question 1
T Distribution
Example 3
Example 4
Confidence Interval: One Population (Review)
12 konu anlatımı · 3 soru
Introduction
Table Values
Confidence Interval for Means(Sigma known)
Example 1
Example 2
Example 3
Exam-like Question 1
Exam-like Question 2
Confidence Interval for Means (sigma unknown)
Example 1
Example 2
Confidence Interval for Proportions
Example 1
Example 2
Exam-like Question 1
Sample Final Problems I
10 soru
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
Confidence Interval for Proportion 1
Confidence Interval for Proportion 2
Confidence Interval for Proportion 3
Confidence Interval for Proportion 4
Hypothesis Testing for Means
6 konu anlatımı · 2 soru
Introduction
Tests for Mean
Example 1
Example 2
Example 3
Example 4
Exam like Question 1
Exam like Question 2
Hypothesis Testing for Population Proportion
3 konu anlatımı · 1 soru
How to Perform the Test for Proportions
Example 1
Example 2
Exam Like Question 1
Simple Linear Regression
6 konu anlatımı · 1 soru
Regression Equations
Example 1
Linear Regression
Example 2
Example 3
Exam Like Question 1
Example 4
Sample Final Problems II
15 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 the Mean 7
Testing for the Mean 8
Testing for the Mean 9
Testing for the Mean 10
Testing for Proportion
Simple Linear Regression 1
Simple Linear Regression 2
Simple Linear Regression 3
Simple Linear Regression 4
Questions from Midterm Topics
21 soru
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Question 11
Question 12
Question 13
Question 14
Question 15
Question 16
Question 17
Question 18
Question 19
Question 20
Question 21
İZLEMEDEN SINAVA GİRME
1 konu anlatımı
İzlemeden Sınava Girme