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# Quantitative methods and modeling

• Class 30
• Practice 30
• Independent work 60
Total 120

### Course title

Quantitative methods and modeling

Obligatory

22-02-502

1

4

### Course overview

Students will learn the theoretical and practical foundation of quantitative methods.

Students will learn to:
• Choose and apply appropriate methosd of descriptive statistics and interpret results.
• Choose and apply appropriate methods of parameter estimation and statistical tests and interpret results.
• Formulate research hypotheses, evaluate them using statistical methods, and summarize the results in a research paper.

This module will enable students to independently apply quantitative analysis and through examples and exercises develop the knowledge, understanding and skills of modelling realistic problems.

### Content

General subject content:

• methosd of descriptive statistics and results interpretation
• methosd of regression analysis
• methods of parameter estimation, statistical tests and results interpretation
• Research hypotheses formulation, evaluate them using statistical methods, and summarize the results in a research paper.

### Literature

1. Albright, S. Ch., Winston, W. (2015). Business Analytics: Data Analysis and Decision Making, 5th Edition. Andover: CENGAGE Learning.

#### Minimal learning outcomes

• Choose and apply appropriate method of univariate analysis and interpret the results
• Choose and apply appropriate method of bivariate analysis and interpret the results
• Estimate parameters of regression model, interpret regression coefficient, and use regression model for prediction
• Choose and apply appropriate parameter estimation method and interpret the results
• Choose and apply appropriate statistical test and interpret the results

#### Preferred learning outcomes

• Apply and derive properties of measures of univariate analysis
• Apply and derive properties of measures of association
• Choose appropriate regression model and evaluate goodness-of-fit of the model
• Apply parameter estimation methods in a research and present findings in a research paper
• Formulate and test research hypotheses, and present findings in a research paper