MATH 201 • Midterm I • Probability for Social Sciences
“Derslerden çok daha verimli. Tek kelimeyle harika diyebilirim.”
Ayberk Gültekin
Yönetim Bilişim Sistemleri
MATH 202 dersi için temelleri attığımız bu derste Olasılık ile alakalı bilmen gereken her konu derinlemesine anlatımlar ve sayısız soru örneğiyle beraber burada!
Eğitmen
Metin Eraslan
Eğitmen
Merhaba 2006 yılından bu yana üniversitelerin yabancı dilde eğitim veren Ekonomi ve İşletme fakültelerindeki öğrencilerine yardımcı olmaktayım. 20 yıllık tecrübem ve kendime has anlatım tekniklerim ile her üniversite ve ders hocasını ayrı ayrı ele alarak sınavlarda doğrudan hedefe yönelik çalışmalar yapmaktayım.
Paketi Tamamla
🎓 Özyeğin Üniversitesinde öğrencilerin %92'si tüm paketi alarak çalışıyor.
Konular
Chapter 1: Using Graphs to Describe Data and Basic Concepts
Başlarken Önemli Tüyo
Population, Sample, Types of Data
Graphical Presentation of Qualitative Data (Bar & Pie Charts)
Grouping Data, Graphs to Describe Data (Histogram, Ogive, Stem and Leaf Display)
Grouping Data - Exam Like Question
Chapter 1: Exam Like Questions
Question 1
Question 2
Question 3
Question 4
Question 5
Chapter 2: Using Numerical Measures to Describe Data
Measures of Location (Mean, Mode, Median)
Measures of Location - Exam Like Question 1
Measures of Location - Exam Like Question 2
Measures of Variation (Range, Variance, Standard Deviation, Coefficient of Variation)
Measures of Variation - Exam Like Question
Approximation for Grouped Data (Frekans Tablosundan Faydalanarak Mean Mode Median vs Hesaplama)
Box Plot and Shape of Distribution (Skewness)
Z-score, Outlier, Emprical Rule Chebyshev's Rule
Exam Like Question - Chebyshev's Rule
Scatter Plot, Covariance & Correlation
Chapter 2: Exam Like Questions
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Question 11
Chapter 3: Probability
Basic Probability (Temel Olasılık)
Basic Probability - Exam Like Question 1
Basic Probability - Exam Like Question 2
Bayes Theorem
Combinations
Hesap Makinesinde Kombinasyon işlemi nasıl yapılır ?
Basic Probability - Exam Like Question 3
Basic Probability - Exam Like Question 4
Basic Probability - Exam Like Question 5
Basic Probability - Exam Like Question 6
Basic Probability - Exam Like Question 7
Chapter 3: Exam Like Questions
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
Question 22
Question 23
Sample Midterm 1
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Sample Midterm 2
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Değerlendirmeler
Derslerden çok daha verimli. Tek kelimeyle harika diyebilirim.
Ders İçeriği
Chapter 1: Using Graphs to Describe Data and Basic Concepts
Başlarken Önemli Tüyo
Population, Sample, Types of Data
Graphical Presentation of Qualitative Data (Bar & Pie Charts)
Grouping Data, Graphs to Describe Data (Histogram, Ogive, Stem and Leaf Display)
Grouping Data - Exam Like Question
Chapter 1: Exam Like Questions
Question 1
Question 2
Question 3
Question 4
Question 5
Chapter 2: Using Numerical Measures to Describe Data
Measures of Location (Mean, Mode, Median)
Measures of Location - Exam Like Question 1
Measures of Location - Exam Like Question 2
Measures of Variation (Range, Variance, Standard Deviation, Coefficient of Variation)
Measures of Variation - Exam Like Question
Approximation for Grouped Data (Frekans Tablosundan Faydalanarak Mean Mode Median vs Hesaplama)
Box Plot and Shape of Distribution (Skewness)
Z-score, Outlier, Emprical Rule Chebyshev's Rule
Exam Like Question - Chebyshev's Rule
Scatter Plot, Covariance & Correlation
Chapter 2: Exam Like Questions
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Question 11
Chapter 3: Probability
Basic Probability (Temel Olasılık)
Basic Probability - Exam Like Question 1
Basic Probability - Exam Like Question 2
Bayes Theorem
Combinations
Hesap Makinesinde Kombinasyon işlemi nasıl yapılır ?
Basic Probability - Exam Like Question 3
Basic Probability - Exam Like Question 4
Basic Probability - Exam Like Question 5
Basic Probability - Exam Like Question 6
Basic Probability - Exam Like Question 7
Chapter 3: Exam Like Questions
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
Question 22
Question 23
Sample Midterm 1
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Sample Midterm 2
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Sıkça 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.