# ECON 221 (Spring 24) • Introduction to Probability and Statistics I • Midterm

Ders Tanıtımı

Introduction

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Frequency Distribution

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Example 1

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Relative Frequency Distribution

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Example 2

Cumulative Frequency Distribution

Example 3

Frequency Histogram

Definition of O-give

Example 4

Example 5

Example 6

Measures of Central Tendancy

Example 7

Measures of Dispersion

Example 8

Example 9

Example 10

Example 11

Example 12

Example 13

Chebyshev's Inequality

Example 14

Axioms of Probability 1

Axioms of Probability 2

Axioms of Probability 3

Axioms of Probability 4

Axioms of Probability 5

Exam like Question 1

Exam like Question 2

Introduction to Counting

Combination & Permutation: Intuition

Exam like Question 1

Combination

Permutation 1

Permutation 2

Exam like Question 2

Understanding Data 1

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Understanding Data 2

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Axioms of Probability 1

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Axioms of Probability 2

Axioms of Probability 3

Axioms of Probability 4

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Axioms of Probability 5

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Counting, Combination and Permutations 1

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Counting, Combination and Permutations 2

Counting, Combination and Permutations 3

Counting, Combination and Permutations 4

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Counting, Combination and Permutations 5

Counting, Combination and Permutations 6

Counting, Combination and Permutations 7

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Counting, Combination and Permutations 8

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Counting, Combination and Permutations 9

Counting, Combination and Permutations 10

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Intuition of Conditional Probability

Conditional Probability 1

Conditional Probability 2

Conditional Probability and Sets

Exam like Question 1

Exam like Question 2

Exam like Question 3

Exam like Question 4

Exam like Question 5

Total Probability Rule

Bayes Rule

Exam like Question 1

Exam like Question 2

Exam like Question 3

Exam like Question 4

Exam like Question 5

Introduction to Independence

Independence 2

Independence 3

Exam like Question 1

Exam like Question 2

Exam like Question 3

Conditional Probability 1

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Conditional Probability 2

Conditional Probability 3

Conditional Probability 4

Conditional Probability 5

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Conditional Probability 6

Conditional Probability 7

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Conditional Probability 8

Conditional Probability 9

Conditional Probability 10

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Bayes' Rule 1

Bayes' Rule 2

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Bayes' Rule 3

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Bayes' Rule 4

Bayes' Rule 5

Independence 1

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Independence 2

Independence 3

Discrete Random Variables 1

Discrete Random Variables 2

Discrete Random Variables 3

Exam Like Question 1

Exam Like Question 2

Variance

Exam Like Question 3

Variance 2

Exam Like Question 4

Variance Arithmetic

Cumulative Distribution Function

Exam Like Question 1

Discrete Random Variables 1

Discrete Random Variables 2

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Discrete Random Variables 3

Discrete Random Variables 4

Discrete Random Variables 5

Discrete Random Variables 6

Cumulative Distribution Function 1

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Cumulative Distribution Function 2

Question 1

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Question 2

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Question 3

Question 4

Question 5

Question 6

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Question 7

Question 8

Question 9

Question 10

Question 11

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Question 12

Question 13

Question 14

Question 15

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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
MSCS

2011 yılında Endüstri Mühendisliği okumak için başladığım Sabancı Üniversitesi'nden 2018 yılında Bilgisayar Mühendisi olarak mezun oldum. Şu anda UALR'da Information Science doktora eğitimimi sürdürüyorum. 7 yıldır Altun ismiyle başta Sabancı Üniversitesi olmak üzere çeşitli okullarda Endüstri ve Bilgisayar Mühendisliği alanlarında ders vermekteyim.

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