Techno Blender
Digitally Yours.
Browsing Tag

hypothesis

“Sugar Hypothesis” of Diabetic Cataract Development Gets an Eye-Opening Reality Check

New findings challenge the “sugar hypothesis” in diabetic cataracts, revealing that immune cells cause cellular changes in the eye lens before high blood sugar levels occur. This suggests diabetic complications may begin during the pre-diabetic state and calls for a reevaluation of current theories.In preclinical models, investigators uncovered a novel mechanism underlying the development of diabetic cataracts that undermines current hypothesis.Researchers at Brigham and Women’s Hospital have discovered a novel mechanism…

Neil deGrasse Tyson explains the simulation hypothesis

Astrophysicist Neil deGrasse Tyson explores how ever-advancing computer power impacts the simulation hypothesis. Astrophysicist Neil deGrasse Tyson explores how ever-advancing computer power impacts the simulation hypothesis. FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their…

Why and How to Adjust P-values in Multiple Hypothesis Testing | by Igor Šegota | May, 2023

P-values below a certain threshold are often used as a method to select relevant features. Advice below suggests how to use them correctly.Photo by the author. Taken at Westfield UTC Mall, La Jolla, California.Multiple hypothesis testing occurs when we repeatedly test models on a number of features, as the probability of obtaining one or more false discoveries increases with the number of tests. For example, in the field of genomics, scientists often want to test whether any of the thousands of genes have a significantly…

Data Science in Hypothesis Testing

Data science in hypothesis testing is a common statistical technique used to support the confidence Data science in hypothesis testing is a common statistical technique used to support the confidence of results in research evident impact is to be discovered. Hypothesis testing is a common statistical technique used to support the confidence of results in research and data science. The goal of testing is to determine how likely an evident impact is to be discovered by chance given a random data sample. The term…

Physicists Confirm 50-Year-Old Hypothesis About Selfish Behavior

The study demonstrates that the creation of groups is not necessarily a result of social behavior, but can also be accounted for by individuals’ entirely self-interested motives to gain an advantage over others.A new study describes how selfishness can lead to fairness.Physicists have verified a fifty-year-old hypothesis that explains the formation of herds as a result of selfish behavior.“Surprisingly, when individuals act out of purely selfish reasons, this can lead to a fair situation within the group,” says physics…

Highly Politicized Congressional Hearings Air COVID Lab-Leak Hypothesis

The US House of Representatives held the first in a series of public hearings on 8 March aimed at exploring how the COVID-19 pandemic began. Members of the Select Subcommittee on the Coronavirus Pandemic acknowledged that the question of where the SARS-CoV-2 coronavirus originated has become highly politicized. But they said that both hypotheses describing its emergence — one, that it spread naturally from animals to people; the other, that it leaked from a laboratory in Wuhan, China — must be explored. “This question is…

Type I & II Errors and Sample Size Calculation in Hypothesis Testing | by Aaron Zhu | Feb, 2023

Factors Influencing the result in Hypothesis TestingPhoto by Scott Graham on UnsplashIn the world of statistics and data analysis, hypothesis testing is a fundamental concept that plays a vital role in making informed decisions. In this blog, we will delve deeper into hypothesis testing, specifically focusing on how to reduce type I and type II errors. We will discuss the factors that influence these errors, such as significance level, sample size, and data variability. So, let’s dive in and explore the intricacies of…

Hacking Statistical Significance: Hypothesis Testing with ML Approaches | by Marco Cerliani | Jan, 2023

Test Statistical Significance in any Context Without AssumptionsPhoto by Christian Stahl on UnsplashThe importance of data analytics is well-known in every field. From business to academics, carrying out proper analysis is the key to reaching cutting-edge results. In this sense, it is crucial to correctly manipulate and extract meaningful insights from the data at our disposal. Data Analysts/Scientists are responsible to fill the gap between theoretical hypothesis and practical evidence.Providing an analytical answer to…

Introduction to Hypothesis Testing with Examples | by Neeraj Krishna | Jan, 2023

A comprehensible guide on hypothesis testing with examples and visualizationsMost tutorials I’ve seen on hypothesis testing start with a prior assumption of the distribution, list down some definitions and formulae, and directly apply them to solve a problem.However, in this tutorial, we will learn from the first principles. This will be an example-driven tutorial where we start with a basic example and build our way up to understand the foundations of hypothesis testing.Let’s get started.Photo by Brett Jordan on…

Wild New Hypothesis Suggests IBS Could Be a Form of ‘Gravity Intolerance’ : ScienceAlert

There's an invisible and relentless force acting on your bowels right now, and it might be causing some people serious irritation.No one really knows how or why irritable bowel syndrome (IBS) develops, but gastroenterologist Brennan Spiegel from Cedars-Sinai hospital in Los Angeles has outlined a weighty new hypothesis.In a paper published in The American Journal of Gastroenterology, Spiegel argues IBS is triggered by the body's inability to manage gravity.Our bowels, Spiegel explains, are like a big sack of potatoes…