Quantitative Methods
This course introduces the fundamentals of research through statistics application in various disciplines. Students learn to practice with data sets, analyze research, and apply statistical theories in real life situations.
Topics covered
- Introduction to Data Analytics and today’s world
- Descriptive Statistics (Qualitative and Quantitative)
- Measures of Variability
- Basic Theory of Probability
- Probability distributions
- Practice with z-tables
- Goodness of fit and Independence tests (chi-square)
- Confidence Intervals
- Hypothesis Testing
- Introduction to Regression Analysis
- Statistics software – Excel
- Data Visualization software – Google Analytics, Tableau, Heat Maps and more
*Extended subjects such as multiple regressions, cluster analysis, two way anova, forecasting, experimental design are available for enriched courses.
Learning Objectives
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- Analyze the process of data collection and identify different types of measurements
- Describe and discuss collected data using various graphical, tabular and numerical summary methods
- Engage with the notion of probability and sampling through the role of making decisions in a similation project
- Express in report format storytelling to various audiences
- Engage in feedback loops and adapt to improvements
- Conduct their own research project and create their experimental designs
- Use statistical softwares relevant to the workplace such as Excel, Pivot tables
- Experiment with data visualization softwares available in the market (Tableau, heatmaps, google analytics)
Chapter 8 – Quantitative Methods – Sample
Quantitative Analysis for Social Science ResearchChapter 8 - Using Inference to Test a Scientific Hypothesis 1 – Simple Sample Mean Hypothesis TestWhy Should I Care? Your sample data shows some wild difference with what you expected. Is this a fluke; are these...
Quantitative Methods – Samie Ly
An advanced version of this course is available for University Level Business Statistics.Chapter 3.2 - Percentiles and Box Plots This chapter explains how to calculate percentiles and illustrates how to build a box plot. Chapter 4.3 - Computing Probabilities This...
Related Course Content
Chapter 8 – Quantitative Methods – Sample
Quantitative Analysis for Social Science ResearchChapter 8 - Using Inference to Test a Scientific Hypothesis 1 – Simple Sample Mean Hypothesis TestWhy Should I Care? Your sample data shows some wild difference with what you expected. Is this a fluke; are these...
Quantitative Methods – Samie Ly
An advanced version of this course is available for University Level Business Statistics.Chapter 3.2 - Percentiles and Box Plots This chapter explains how to calculate percentiles and illustrates how to build a box plot. Chapter 4.3 - Computing Probabilities This...
Research Methods Part 3.6 – MLA Style
Part 2 – The Research Methods This is a short presentation of the main research methods, as they apply to social science. 6 – MLA Style - Why Should I Care? Some journals (and academics in that same field) use the MLA style, which is useful to know. The Basics MLA...
Research Methods – Part 2.1 – Survey
Part 2 – The Research Methods This is a short presentation of the main research methods, as they apply to social science. 1 – Survey Why Should I Care? Surveys are very common. However, many are not done well. There are many traps most people don’t know about that...
