QMBU 301 • Midterm • Quantitative Methods in Business
“Hocamızın güzel anlatımı sayesinde konuyu gayet iyi anladım. Çok teşekkürler :)”
Fatma Doğan
İşletme
QMBU 301 zor derstir, biliriz.
QMBU 301 Quiz ve Midterm'ü için hazırlanmış bu dersimizde istatistik dersinde gördüğün konuların hızlı bir tekrarını yapıp sonrasında dersin en önemli kısmı olan Regression konusunu öğrenecek, çıkmış sınav sorularıyla antreman yapabileceksin
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
🎓 Koç Üniversitesinde öğrencilerin %92'si tüm paketi alarak çalışıyor.
QMBU 301 • Midterm
Quantitative Methods in Business
Metin Eraslan
1999 TL
QMBU 301 • Final
Quantitative Methods in Business
Metin Eraslan
1999 TL
Konular
Review of Statistical Concepts
Başlarken Önemli Tüyo
Population, Sample, Types of Data
Measures of Location (Mean, Mode, Median)
Example: Measures of Location
Grouping Data, Graphs to Describe Data (Histogram, Ogive, Stem and Leaf Display)
Measures of Spread (Measures of Variation)
Z-score, Outlier, Emprical Rule Chebyshev's Rule
Scatter Plot and Measures of Association (Covariance & Correlation)
Review of Probability
Probability Review
Discrete Probability Distributions
Linear Functions of Discrete Random Variables - Örnek
Binomial Probability Distribution
Binomial Distribution için Hesap Makinesi Kullanımı
Poisson Distribution
Poisson Distribution için Hesap Makinesi Kullanımı
Uniform Distribution
Normal Distribution
Exponential Distribution
Exponential Distribution için Hesap Makinesi Kullanımı
Review of Confidence Interval
Confidence Interval for Mean (Population Standard Deviation Known)
Confidence Interval for Mean (Population Standard Deviation Unknown)
Sample Size Determination for Mean
Confidence Interval for Proportion
Sample Size Determination for Proportion
Review of Hypothesis Testing - 1 Sample
Hypothesis Test - Introduction
Hypothesis Test - One Population Mean (Population Variance Known)
Hypothesis Test - One Population Mean (Population Variance Unknown)
Hypothesis Test - One Population Proportion
Hypothesis Test for One Population Variance
Review of Hypothesis Testing - 2 Sample
Hypothesis Test - Two Population Mean (Population Variance Known)
Hypothesis Test - Two Population Mean (Population Variance Unknown)
Hypothesis Test - Two Population Mean (Population Variance Unknown-Part 2)
Hypothesis Test - Two Population Proportions
Matched Pair Sample Analysis (Dependent Sample Analysis)
Hypothesis Test - Two Population Variances
Sample Quiz
Sample Quiz
Chi-squared Distribution
Application 1: Goodness of Fit Test
Exam Like Question 1
Exam Like Question 2
Exam Like Question 3
Exam Like Question 4
Application 2: Association Between Two Variables
Exam Like Question 5
Exam Like Question 6
Analysis of Variance (ANOVA)
One-Way Anova
Two-Way Anova
Simple Linear Regression
Regression Equation Nedir ?
Simple Linear Regression - Örnek 1
Simple Linear Regression - Örnek 1 (Manual Computation / Part 1)
Simple Linear Regression - Örnek 1 (Manual Computation / Part 2)
Simple Linear Regression - Örnek 2 (Part 1)
Simple Linear Regression - Örnek 2 (Part 2)
Prediction Interval
Multiple Linear Regression
Multiple Linear Regression Model
Multiple Linear Regression - Örnek 1
Multiple Linear Regression - Örnek 2 (Part 1)
Multiple Linear Regression - Örnek 2 (Part 2)
Multiple Linear Regression - Örnek 3
Multiple Linear Regression - Örnek 4
Assumptions of Linear Regression Model
Multicollinearity
Assumptions of Linear Regression Model - An Introduction
Assumptions of Linear Regression Model - Detailed
Assumptions of Linear Regression Model - Summary
Tukey's Bulging Rule
Assumptions of Linear Regression Model - Örnek
Sample Quiz
Sample Quiz 2
Additional Questions for Midterm
Question 1 - Normal Distribution
Question 2 - Normal Distribution
Question 3 - Confidence Interval
Question 4 - Confidence Interval
Question 5 - Confidence Interval
Question 6 - Prediction Interval
Question 7 - Regression Analysis
Question 8 - Regression Analysis
Question 9 - Regression Analysis
Question 10 - Regression Analysis
Değerlendirmeler
Hocamızın güzel anlatımı sayesinde konuyu gayet iyi anladım. Çok teşekkürler :)
Ders İçeriği
Review of Statistical Concepts
Başlarken Önemli Tüyo
Population, Sample, Types of Data
Measures of Location (Mean, Mode, Median)
Example: Measures of Location
Grouping Data, Graphs to Describe Data (Histogram, Ogive, Stem and Leaf Display)
Measures of Spread (Measures of Variation)
Z-score, Outlier, Emprical Rule Chebyshev's Rule
Scatter Plot and Measures of Association (Covariance & Correlation)
Review of Probability
Probability Review
Discrete Probability Distributions
Linear Functions of Discrete Random Variables - Örnek
Binomial Probability Distribution
Binomial Distribution için Hesap Makinesi Kullanımı
Poisson Distribution
Poisson Distribution için Hesap Makinesi Kullanımı
Uniform Distribution
Normal Distribution
Exponential Distribution
Exponential Distribution için Hesap Makinesi Kullanımı
Review of Confidence Interval
Confidence Interval for Mean (Population Standard Deviation Known)
Confidence Interval for Mean (Population Standard Deviation Unknown)
Sample Size Determination for Mean
Confidence Interval for Proportion
Sample Size Determination for Proportion
Review of Hypothesis Testing - 1 Sample
Hypothesis Test - Introduction
Hypothesis Test - One Population Mean (Population Variance Known)
Hypothesis Test - One Population Mean (Population Variance Unknown)
Hypothesis Test - One Population Proportion
Hypothesis Test for One Population Variance
Review of Hypothesis Testing - 2 Sample
Hypothesis Test - Two Population Mean (Population Variance Known)
Hypothesis Test - Two Population Mean (Population Variance Unknown)
Hypothesis Test - Two Population Mean (Population Variance Unknown-Part 2)
Hypothesis Test - Two Population Proportions
Matched Pair Sample Analysis (Dependent Sample Analysis)
Hypothesis Test - Two Population Variances
Sample Quiz
Sample Quiz
Chi-squared Distribution
Application 1: Goodness of Fit Test
Exam Like Question 1
Exam Like Question 2
Exam Like Question 3
Exam Like Question 4
Application 2: Association Between Two Variables
Exam Like Question 5
Exam Like Question 6
Analysis of Variance (ANOVA)
One-Way Anova
Two-Way Anova
Simple Linear Regression
Regression Equation Nedir ?
Simple Linear Regression - Örnek 1
Simple Linear Regression - Örnek 1 (Manual Computation / Part 1)
Simple Linear Regression - Örnek 1 (Manual Computation / Part 2)
Simple Linear Regression - Örnek 2 (Part 1)
Simple Linear Regression - Örnek 2 (Part 2)
Prediction Interval
Multiple Linear Regression
Multiple Linear Regression Model
Multiple Linear Regression - Örnek 1
Multiple Linear Regression - Örnek 2 (Part 1)
Multiple Linear Regression - Örnek 2 (Part 2)
Multiple Linear Regression - Örnek 3
Multiple Linear Regression - Örnek 4
Assumptions of Linear Regression Model
Multicollinearity
Assumptions of Linear Regression Model - An Introduction
Assumptions of Linear Regression Model - Detailed
Assumptions of Linear Regression Model - Summary
Tukey's Bulging Rule
Assumptions of Linear Regression Model - Örnek
Sample Quiz
Sample Quiz 2
Additional Questions for Midterm
Question 1 - Normal Distribution
Question 2 - Normal Distribution
Question 3 - Confidence Interval
Question 4 - Confidence Interval
Question 5 - Confidence Interval
Question 6 - Prediction Interval
Question 7 - Regression Analysis
Question 8 - Regression Analysis
Question 9 - Regression Analysis
Question 10 - Regression Analysis
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.