Empowering Computer and Statistics
Throughout history, toys and entertainment have played a vital role in human cognitive, social, and physical development. Toys have not only been tools for amusement but also instruments for education, creativity, and life skills enhancement. Over time, toys have evolved from simple natural objects to today’s advanced digital technologies. This article explores the transformation of […]
In most cases, there are complex and specific algorithms for abnormal or anomaly detection that have been implemented through various software in statistical or data analysis. However, in this article from the Arman Computer magazine, we aim to discuss the application of sorting and identifying abnormal observations, which, in addition to being simple, is also […]
The correlation coefficient or more precisely, the Pearson correlation coefficient, is a bivariate statistical descriptive statistics that examines the linear dependency between two vectors of observations. Given the range [1,-1] that the value of the Pearson correlation coefficient can have, it is very close to the value of trigonometric functions, especially the cosine function. Therefore, […]
In other articles from Arman Computer Magazine, we have examined how to calculate the average and weighted mean. But in this text, we want to discover the average or mean formula and learn how to derive its formula. I try to mention the formula syntax less, but sometimes it is necessary to use the syntax […]
The science of mathematics develops from the mental aspect in the abstract part of brain function. In part of the development period of a human, the mind that has the ability to understand abstraction and imagine concepts that do not have a physical presence, emerges and is completed and forms intellectual maturity. Concepts like infinity […]
“Coefficient of Variation” (CV) is suitable for comparing the dispersion (Variation) of two groups of data collected with different measurement units. In this statistical index, the ratio of dispersion to a central criterion is measured. In fact, this index shows how much the standard deviation of the values changes per unit of change in the […]
Regression methods model the relationship between independent and dependent variables. Linear regression models are widely used; however, they may not be suitable when the relationship between variables isn’t linear. Polynomial regression is an alternative that models the relationship of the dependent variable as a polynomial function of the independent variable. This post (from Armancomputer blog) […]
Descriptive statistics indices, such as Central Tendency indices or dispersion measures, are used to identify the statistical population. But using each one alone may not have a good result. Simultaneous attention to the criteria of concentration and dispersion helps the statistical population to be better known and its behavior can be compared and analyzed. they […]
Here at Armancomputer -an online magazine (Blog) we concentrate on computing software and applications. One of the most popular software applications in data analysis is Microsoft Excel, and its new functions are more challenging. In this post, we want to introduce a new logical function called Excel switch function. If you have many levels as […]
In the previous article entitled Statistical Distribution and Its Density Plot Shiny Application – Part 1, we learned how to draw the graph of the density function of a distribution by generating random numbers from that distribution. In this article, we will solve the disadvantages and problems that existed in the previous program and provide […]
