Quantitative Methods Assignment Homework Help

**Quantitative Methods** emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques. Quantitative research focuses on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon. Quantitative methods are used to gather data for the purpose of analyzing quantity and numbers, and deriving meaning and understanding from these. Quantitative methods are useful at providing an understanding phenomenon is occurring. They also lend themselves to a deductive research approach which means that they begin by taking existing theories and testing them in a top-down approach to research.

**Following is the list of topics under ****Quantitative Methods** **which is prepared after detailed analysis of courses taught in multiple universities across the globe:**

- Advanced topics: Latent space models, dynamic network simulation
- Creating and managing network objects
- Data Analysis, Sampling and Charts
- Sampling Methods: Random, Stratified, Cluster, etc.
- Histograms
- Stem and Leaf
- Box-Plot
- Normality Tests
- Estimation
- Forecasting
- Decision Support Models
- Doctoral Seminar in Operations Research
- Dyad-independent models
- ergm goodness-of-fit
- Forecasting Models in Business
- Independent Study or Research
- Introduction and notation: motivating examples and some graph theory
- Linear Programming
- Linear Optimization
- Sensitivity Analysis
- Non-Linear Programming
- Simplex analysis
- Integer Programming
- Managerial Applications of Regression Models
- Mathematical Programming
- Measures of Central Tendency and Dispersion
- Mean, Median, Mode
- Standard Deviation
- Standard Error of the Mean
- Law of Large Numbers
- Central Limit Theorem
- Normal Distribution
- Modeling partially observed network data, with an emphasis on egocentric
- Modeling with Spreadsheets Hypothesis Testing
- Z-test, two independent samples
- t-test, two independent samples, paired samples
- F-test
- Non-parametric Chi Square test
- Network sampling methods
- Network structures for ERG modeling
- Network summary statistics and characteristics
- Network/node attributes: descriptive statistics, centrality, prestige and
- Plotting networks
- Practical Methods for Data Analysis
- Project presentations
- Probability Distributions
- Binomial Distribution
- Poisson Distribution
- Exponential Distribution
- Standard Normal
- Quantitative marketing research
- Quantitative psychology
- Regression Analysis
- Coefficient of Correlation
- Coefficient of Determination
- Least Squares Method
- Multiple Regression
- Non-parametric Regression
- Logistic Regression
- Simulating networks
- Special Problems in Quantitative Analysis
- Special Topics in Quantitative Methods
- Spreadsheet Models for Managerial Decision Making
- Statistical Data Analysis for Management
- Statistical survey
- Stochastic Models: Queuing and Simulation
- Survey Sampling Applications
- Times Series
- Control Charts
- Autocorrelation
- Seasonal Indexes
- Trends, cycles
- Forecasting
- Types of networks, network data structures
- Wrap up ergm models