In statistics, population and sample are two fundamental concepts that help us to better understand data. A population is a…
Account receivables (AR) account for a significant portion of total assets and revenue. However, the account receivable process is typically…
Bayesian thinking is a powerful way of looking at the world, and it can be useful in many real-life situations.…
Understanding the differences between true error and sample error is an important aspect of data science. In this blog post,…
In this post, you will learn about the statistics concepts of confidence intervals in relation to machine learning models with…
Paired sample t-tests are a commonly used statistical procedure used to compare two populations that are related in some way.…
Hidden Markov models (HMMs) are a type of statistical modeling that has been used for several years. They have been…
The Levene test is used to test for equality of variance in a dataset. It is used in statistical analysis…
Data analysis is a crucial part of any business or organization. It helps make decisions and assists in strategy development.…
The performance of the machine learning models depends upon two key concepts called underfitting and overfitting. In this post, you…