Quantitative statistical techniques are methods used to analyze and interpret data to inform business decisions, solve problems, or understand complex phenomena. These techniques involve the use of mathematical and statistical tools to summarize, analyze, and visualize data. Quantitative statistical techniques are widely used in various fields, including business, economics, finance, healthcare, and social sciences.
: Explores correlation and regression analysis to understand how different variables interact.
This subject is typically divided into two main sections: (descriptive and inferential) and Operations Research (optimization techniques).
Descriptive statistics is a branch of quantitative statistical techniques that deals with summarizing and describing the basic features of a dataset. It involves the use of measures such as mean, median, mode, and standard deviation to understand the central tendency and variability of a dataset. The third edition of "Quantitative Statistical Techniques" provides an in-depth discussion of descriptive statistics, including the calculation of summary statistics, data visualization, and data transformation.