Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

Usually when it comes to writing, mathematics and statistics probably aren’t the first things that come to mind. However, quite the number of us have had to face an instance where a source based on ...

For each indicator, the latest figure and its one-year, five-year, and 10-year changes are easy to understand in terms of raw data, but we need supplementary statistical analysis to determine whether ...

Generally speaking, there are two types of outcomes (i.e. response) in statistical analysis: continuous and categorical responses. Linear Models (LM) are one of the most commonly used statistical ...

Modern businesses are awash in data, including operational and financial. Decisions that once relied on management intuition now involve careful analysis of financial statements, spreadsheets and ...

A statistical analysis of the distribution of returns can be used to determine many key characteristics of a stock's behavior. Volatility is not the only useful measure of risk that can be determined ...