Welch's ANOVA, is an expansion of the standard ANOVA test that allows for different sample sizes and variances. Frequently, the samples that are being compared in an ANOVA test may not have comparable variances or sample sizes. In certain situations, Welch's ANOVA should be performed rather than the standard ANOVA ... Read More

ANCOVA (analysis of covariance) is a useful statistical method because it enables the inclusion of covariates in the analysis, which may assist adjust for auxiliary variables and increase the precision of group comparisons. These additional factors, or covariates, may be incorporated into the study using ANCOVA. In order to be ... Read More

Obtaining a p−value from a z−score is a typical statistical procedure. The number of standard deviations a value is from the mean of a normal distribution is expressed as a z−score, sometimes referred to as a standard score. The z-score can be used to assess the probability that a specific ... Read More

Studentized residuals are typically used in regression analysis to identify potential outliers in the data. An outlier is a point that is significantly different from the overall trend of the data, and it can have a significant influence on the fitted model. By identifying and analyzing outliers, you can better ... Read More

Dunn's test is a statistical technique for comparing the means of several samples. When it's required to compare the means of numerous samples to identify which ones are noticeably different from one another, Dunn's test is frequently employed in a range of disciplines, including biology, psychology, and education. We shall ... Read More

Many statistical tests and procedures presume that the data is normal and has equal variances. These criteria frequently determine whether a researcher can apply a parametric or non-parametric test, frame hypotheses in specific ways, and so on. Bartlett's test is a prominent inferential statistics test that deals with data from ... Read More

MediaPipe is a cross-platform open-source Machine Learning framework for creating complicated and multimodal applied machine learning pipelines. It can be used to create cutting-edge Machine Learning Models such as face identification, multi-hand tracking, object detection and tracking, and many more applications. MediaPipe simply functions as a middleman for managing model ... Read More

In this article we are going to learn how to predict stock price direction using Support Vector Machines. Machine Learning is an Artificial Intelligence application that is improving the way the world functions in every discipline. At its essence, it is an algorithm or model that identifies patterns in a ... Read More

Artificial intelligence (AI) is the capacity of a machine created artificially to think and act logically or human-like. The study of the rational agent and its surroundings can be used to define an AI system. Agents use sensors to perceive their surroundings and actuators to take action on it. Knowledge, ... Read More

The contemporary Olympic Games, sometimes known as the Olympics, are major international sporting events that feature summer and winter sports contests in which thousands of participants from all over the world compete in a range of disciplines. With over 200 nations competing, the Olympic Games are regarded as the world's ... Read More