Hypothesis testing is a statistical method used to evaluate whether a hypothesis about a population parameter is true or false based on a sample. It is an essential tool in statistics and data analysis. In this article, we will discuss the concept of hypothesis testing, its importance, and how to perform it using Python. The…
Sampling with replacement, also known as resampling with replacement, is a statistical technique where you draw observations from a finite population and then return them to the pool before the next draw. This method is different from simple random sampling without replacement, where you draw an observation and do not replace it before the next…
The log-normal distribution is a continuous probability distribution that is defined as the logarithm of a random variable that follows a normal distribution. This distribution is commonly used in various fields such as finance, physics, engineering, and economics due to its ability to model positively skewed data. In this article, we will discuss the underlying…