QMBU 301 • Tüm Sınavlar • Quantitative Methods in Business

Başlarken Önemli Tüyo

Population, Sample, Types of Data

Measures of Location (Mean, Mode, Median, Percentile, Quartile)

Example: Measures of Location

Box Plot and Shape of Distribution (Skewness)

Grouping Data, Graphs to Describe Data (Histogram, Ogive, Stem and Leaf Display)

Measures of Spread (Measures of Variation)

Scatter Plot and Measures of Association (Covariance & Correlation)

Probability Review

Discrete Probability Distributions

Linear Functions of Discrete Random Variables - Örnek

Normal Distribution

Exam Like Question 1: Normal Distribution

Exam Like Question 2: Normal Distribution

Confidence Interval for Mean (Population Standard Deviation Known)

Confidence Interval for Mean (Population Standard Deviation Unknown)

Sample Size Determination for Mean

Hypothesis Test - Introduction

Hypothesis Test - One Population Mean (Population Variance Known)

Hypothesis Test - One Population Mean (Population Variance Unknown)

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)

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 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

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

Question 1 - Normal Distribution

Question 2 - Normal Distribution

Question 3 - Confidence Interval

Question 4 - Confidence Interval

Question 5 - Confidence Interval

Question 6 - Hypothesis Test, One Sample

Question 7 - Hypothesis Test, Two Samples

Question 8 - Hypothesis Test, Two Samples

Question 9: Regression Models

Question 10: Regression Models

Question 11: Regression Model Assumptions

Question 12: Regression Model Assumptions

Residual Autocorrelation Nedir? Durbin Watson Test Nedir, Nasıl Uygulanır?

Residual Autocorrelation and DW Test - Exam Like Question

Autocorrelation between Y's

Autocorrelation between Y's - Exam Like Question

Başlarken Önemli Tüyo

Basic Concepts: Trend Vs Stationary & Seasonality Vs Cycle

Time Series Forecasting Techniques - An Overview

Naive Method

Simple Averaging

Moving Average

Simple Exponential Smoothing

Question 1

Question 2

Question 3

Question 4

Naive Method with Trend

Double Moving Average

Exam Like Question

Holt's Method (Double Exponential Smoothing)

Regression Based Trend Models

Winter's Additive Method

Winter's Multiplicative Method

Regression Based Seasonality Models

Holt-Winter's Additive Method

Holt-Winter's Multpicative Method

Regression Based "Trend+Seasonality" Methods

Regression Based "Trend+Seasonality Methods" - Örnek

Decomposition

Decomposition - Örnek 1

Decomposition - Örnek 2

Decision Making Process in Operations & Fundamentals & Decision Tables

Types of Decision-Making Environments

Decision Making Under Uncertainty

Decision Making Under Risk

Decision Making Under Certainty

Decision Trees

Exam Like Question 1

Exam Like Question 2

Exam Like Question 3

Exam Like Question 4

Exam Like Question 5

Logistic Regression

Exam Like Question 1

Cassification

Exam Like Question 2

Exam Like Question 3

Exam Like Question 4

Exam Like Question 5

Questions 1

Questions 2

Questions 3

Questions 4

Questions 5

Question 6

Questions 7