• ## Azzalini Distribution

< Probability distributions Azzalini’s skew-normal class of distributions are a family of distributions that includes the normal distribution as a special case. They have an extra parameter (λ) to regulate skewness . These one parameter distributions are defined by the probability density function (PDF): Where: Location parameters and scale parameters are an optional addition to the PDF. While there are many […]

< Back to Probability Distributions List The Radico-normal distribution is a member of the modified normal distributions constructed by Romanowski . It is a special case of the modified normal cumulative distribution function (CDF)  with a = ½. Note that when a is infinitely large, the curve is a normal distribution. When a = […]

• ## Kurtosis

< Statistics and Probability Definitions Kurtosis is an important concept to understand because it tells us something about the shape of the data we are working with. This blog post will discuss what kurtosis is, how it works, and why it matters. What Is Kurtosis? Kurtosis is a measure of the peakedness or flatness of […]

• ## Symmetric Distribution

< Statistics and Probability Definitions A symmetric distribution is a type of data distribution where the left side of the plot mirrors the right side. It’s an important concept in statistics and mathematics as it can be used to explain different phenomena and outcomes. In this blog post, we’ll explore what symmetric distributions are and […]

• ## What is variance in statistics?

< Statistics and probability definitions Variance is a term used to describe a statistical measurement that evaluates the spread between numbers in a data set. In other words, it helps us determine how far each number in the set is from the mean or average, and from every other number in the set. This concept […]

• ## Reliability in Statistics

< Statistics and probability definitions Have you ever wondered why it is important to measure things accurately and consistently? In statistics, reliability is the consistency of a measure. If you measure the same thing multiple times, are the measurements consistent? A highly reliable measure is more consistent than one with low reliability. Let’s dive deeper […]

• ## What Is A Statistic?

< Statistics and probability definitions Statistics are everywhere. From the news to the classroom, we are constantly surrounded by data that can help us gain a better understanding of any given topic. But what exactly is a statistic? In its simplest form, it is a fact or piece of data from a study of a […]

• ## What is a variable in statistics?

< Statistics and Probability Definitions A variable is an important concept in statistics. It’s a way of measuring or counting something, such as age, sex, business income and expenses, country of birth, capital expenditure, class grades, eye color and vehicle type. But what exactly is a variable? Let’s take a look at the basics of […]

• ## Neyman Structure

Probability and Statistics Definitions > Blog Introduction: Statistics are used to make sense of the data we collect, but how do you make sure that your statistic is reliable and independent of other variables? The answer lies in a concept called the Neyman structure. Read on to learn more about this important concept in statistics […]

• ## Hypothesis Test

< Statistics and Probability Definitions Have you ever heard the phrase “you can’t prove a hypothesis”? If so, then you know that it is essential to be able to test a hypothesis in order to determine if it is valid. But what exactly is hypothesis testing and how does it work? In this blog post, […]